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Location: Madrid, Spain Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We’re looking for Senior Product Manager & Product Sales Lead in Madrid! This is a rare mandate: full product ownership and commercial ownership and sales leadership of a global card issuing, working capital and embedded finance solution — with P&L accountability and a clear path to scale from Europe into the Middle East, APAC and beyond. You won't just build the roadmap; you'll own the revenue outcome and lead how it's sold into two very different buyer worlds: Treasury & Finance, and Media & Marketing. If you want a senior PM seat where product strategy and commercial performance are the same job, not two separate ones, this is built for that. What is AlephPay? AlephPay is the business card built for digital advertising and designed to become your primary card for all business spend. It combines flexible credit, reliable payments, spend control, and rewards in one solution, covering everything from media spend to everyday expenses, so your campaigns keep running without interruption. You can create dedicated virtual cards for clients, campaigns, teams, or other business needs while keeping full visibility and control over company spending. AlephPay also simplifies expense management and reconciliation, making it easier for finance teams to manage all business spend in one place. And because it's built around advertising, AlephPay rewards the way you already spend: eligible ad spend earns media rewards you can reinvest into your campaigns, while everyday business purchases unlock additional benefits that help your business grow. What You’ll Do Strategy & Expansion Own product strategy, roadmap, value proposition and lifecycle Shape expansion strategy and evaluate build, partner or hybrid models by capability, market and region Develop card-based embedded finance propositions across spend management, T&E, corporate spend, working capital and financing Lead international expansion across Europe, Middle East, APAC and other priority markets P&L & Commercial Own product P&L, business cases, revenue targets and commercial performance Define and optimise pricing, revenue streams and product economics Lead the Product Sales Specialist team and align product revenue execution with Media Sales Monitor key performance drivers and act to improve revenue and margin Sales & GTM Act as senior SME for card issuing and embedded finance in strategic account discussions with Treasury, Finance, Media and Marketing stakeholders Develop sales toolkits, value propositions, use cases and competitive positioning Lead GTM coordination across Sales, Marketing, Treasury, Risk, Compliance, Operations, Technology and external partners Own strategic relationships with issuers, processors and embedded finance partners What You Need For This Role Strong experience in card issuing, commercial cards and/or embedded finance. Product management and commercialisation of payment or financial products with P&L responsibility. Experience with working capital or financing solutions linked to B2B payments. Strong knowledge of issuing ecosystems, payment flows, pricing, interchange, FX and corporate payment processes. International market expansion and complex partner management experience. Experience in digital media, advertising, adtech or media buying is a strong plus. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 72,000. In addition to base salary, this role includes a variable component, paid annually. The final offer will reflect your experience, skills, and the scope of the role. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Berlin Workplace: Hybrid adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem. Next-Gen Machine Intelligence for Scalable Discovery & Engagement The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches—specifically generative approaches —to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users. The team operates at the intersection of bleeding-edge R&D and high-scale production engineering, acting as the company’s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments. Your Mission & Who We Are Looking For: - PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics, or an MSc with extensive industry research, and publications in top-tier venues like SIGIR, KDD, NeurIPS, or ICLR. You've spent 4+ years building large-scale recommender systems in high-throughput environments: AdTech, e-commerce, or social. - You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting multi-stage recommendation pipelines, Generative Retrieval, Deep Ranking, and Re-ranking, serving millions of requests across a stack built on 770 million users' behavioral data. - Deep expertise in PyTorch and large-scale model optimization. You have hands-on experience with high-concurrency optimization, model quantization, and distillation, the engineering side of getting large generative models to run under extreme production constraints, not just in research environments. - Content understanding and embeddings are core to your work. You research and develop information-rich user and ad embeddings using unsupervised and generative approaches, directly improving the quality of predictions across both Playtime and adjoe Ads. - Raises the technical bar around them. You lead architectural debates, mentor junior scientists, and drive the team's research direction without needing a roadmap handed to you. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a talented Mobile Engineer to join our engineering team. In this role, you will design, build, and maintain high-performance native iOS applications that power core user experiences. You will collaborate with cross-functional teams to solve technical challenges at scale, write resilient code, and help maintain high engineering standards. What You'll Be Doing Build & Scale Native Mobile Apps: Design, develop, and maintain modular, reliable native mobile features (iOS) used by millions of global users. Architect Core Systems: Drive technical decision-making on mobile architecture, API design, performance optimization, and offline/network resiliency. Collaborate Cross-Functionally: Partner closely with Product Management, Design, and Backend Engineering to translate complex user and commercial requirements into intuitive, reliable mobile experiences. Ensure Quality & Rigor: Write clean, testable, and maintainable code while maintaining high engineering standards for code reviews, testing, security, and monitoring. Integrate AI Workflows: Apply AI coding tools actively in your workflow—not only for code generation, but also to build and maintain repeatable personal AI development workflows. Modernize Engineering Tooling: Leverage modern development tools, automated CI/CD pipelines, and productivity workflows to maintain rapid iteration speeds. What We Look For In You Solid software engineering fundamentals with hands-on experience building, shipping, or maintaining production native iOS applications Strong understanding of mobile system design, clean architecture, memory management, testing, and performance tuning. Ability to actively apply AI coding tools in your workflow and continuously optimize personal engineering productivity. Problem-solving mindset with the ability to take ownership of end-to-end features and drive execution independently. Nice-To-Haves Experience with CI/CD pipelines for mobile delivery (e.g., Fastlane, GitHub Actions, Xcode Cloud). Familiarity with analytics, feature flagging, and experimentation/A/B testing frameworks. Experience maintaining or contributing to shared mobile frameworks or design systems. Proficiency in speaking, reading and writing in both English and Mandarin to collaborate effectively with global and cross-functional team members. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote Roles - EMEA; Sliema, Malta Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Senior or Lead Product Manager to lead the strategy, development, and continuous improvement of our professional trading tools and end-to-end trading experience. This role is focused on products for active and professional traders. The scope includes advanced market analysis, trading workflows, order execution, position and risk management, workspace customisation, and selected automation capabilities. You will develop a deep understanding of how professional traders use leading platforms such as TradingView, 3Commas, Bookmap, ATAS, and Quantower, and translate those insights into a differentiated, reliable, and intuitive trading experience. Experience in the crypto industry is a strong plus. We welcome candidates who have built professional trading products for equities, futures, options, FX, commodities, or other electronic markets. Experience with crypto markets and products is a strong advantage. What You’ll Be Doing Own the product vision, strategy, roadmap, and delivery of professional trading tools and the broader trading experience. Build a deep understanding of active and professional traders, including their daily workflows, trading behaviours, pain points, and expectations. Lead the development and improvement of market analysis, charting, order execution, position management, account monitoring, and workspace customisation. Identify opportunities to introduce advanced trading and automation capabilities that improve efficiency while keeping users in control of their trading decisions. Improve the quality of the end-to-end trading journey, from discovering an opportunity and placing an order through execution, position monitoring, and post-trade review. Ensure the product meets professional standards for performance, stability, accuracy, usability, and transparency, particularly during periods of high market volatility. Conduct structured user research and competitor analysis across professional trading terminals, charting platforms, and trading automation products. Define product success metrics and use customer feedback, behavioural data, and trading data to evaluate performance and guide priorities. Work closely with engineering, design, data, quantitative research, risk, compliance, operations, customer support, and commercial teams. Translate complex trader needs and market concepts into clear product requirements and intuitive user experiences. Manage technical and commercial trade-offs, dependencies, and delivery risks across multiple teams and product areas. Communicate product strategy, priorities, and outcomes clearly to senior stakeholders and distributed teams. Support and mentor other product managers and contribute to the broader trading product strategy What We Look For In You 5-7+ years of product management experience, with a strong track record of delivering complex user-facing products. Meaningful experience building professional trading tools, trading terminals, charting or market-data products, execution products, or trading automation solutions. Relevant experience may come from equities, futures, options, FX, commodities, multi-asset platforms, or crypto. Direct experience at a crypto company is not required. Strong understanding of electronic trading workflows, including market data, order placement and execution, position management, margin, P&L, and risk controls. Familiarity with leading professional trading products such as TradingView, 3Commas, Bookmap, ATAS, Quantower, or comparable platforms. A strong understanding of the needs of active traders and the ability to simplify sophisticated trading workflows without removing essential control or flexibility. Experience owning the full product lifecycle, including research, strategy, prioritisation, requirements, delivery, launch, measurement, and iteration. Strong product judgement and the ability to balance customer value, usability, technical complexity, business impact, operational risk, and regulatory requirements. Demonstrated ability to use qualitative research and quantitative data to make product decisions. Experience working closely with engineering and design teams on real-time, data-intensive, or high-performance products. Strong cross-functional leadership and the ability to influence teams and senior stakeholders without relying on formal authority. Ability to operate independently, manage ambiguity, and deliver results in a fast-moving, remote-friendly environment. Excellent written and spoken English. English is the working language for meetings, documentation, and daily collaboration. Nice to Haves Experience with crypto spot, perpetual futures, options, CEX, DEX, or on-chain trading products. Hands-on familiarity with professional trading platforms or experience as an active trader. Experience with advanced trading features, algorithmic execution, trading automation, or exchange connectivity. Experience building products across web, desktop, and mobile trading environments. Knowledge of exchange APIs, real-time market-data infrastructure, or broker and exchange integrations. A technical, quantitative, engineering, economics, finance, or mathematics background. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: ES - Barcelona, Spain We are looking for a Client Engineer in Barcelona, Spain, on a hybrid 3 days a week. We can support with visa sponsorship from any location. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! We are in the early stages of development on an ambitious, unannounced, cross-platform Strategy/MMO title, creating a team of talented and passionate game makers to join us on this exciting journey! To help achieve our goals, we are looking for a Client Engineer focused on building and improving Real User Monitoring (RUM), client observability and telemetry capabilities within our Unity client. This role will help the project understand the real player experience in the game, transforming questions and needs from across the team into reliable, actionable signals. What You’ll Do Professional experience developing and operating live games with the Unity engine. Excellent C# programming skills and strong knowledge of software engineering best practices. Experience designing, implementing or evolving client-side monitoring, telemetry, observability or diagnostics capabilities for a live product. Strong analytical and problem-solving skills, with the ability to turn ambiguous live-game issues into practical technical solutions. Excellent communication and collaboration skills, including the ability to work effectively with technical and non-technical partners. Experience working with multiple stakeholders in the development process; able to understand their goals and evaluate technical approaches that meet them. Experience with version control, build tools and deployment pipelines. Familiarity with software development methodologies such as Agile and Scrum. Hands-on experience with AI-assisted development tools (for example, GitHub Copilot, Codex or Claude Code), and an understanding of how agentic workflows can augment engineering productivity. What We’re Looking For Professional experience developing and operating live games with the Unity engine. Excellent C# programming skills and strong knowledge of software engineering best practices. Experience designing, implementing or evolving client-side monitoring, telemetry, observability or diagnostics capabilities for a live product. Strong analytical and problem-solving skills, with the ability to turn ambiguous live-game issues into practical technical solutions. Excellent communication and collaboration skills, including the ability to work effectively with technical and non-technical partners. Experience working with multiple stakeholders in the development process; able to understand their goals and evaluate technical approaches that meet them. Experience with version control, build tools and deployment pipelines. Familiarity with software development methodologies such as Agile and Scrum. Hands-on experience with AI-assisted development tools (for example, GitHub Copilot, Codex or Claude Code), and an understanding of how agentic workflows can augment engineering productivity. Bonus Points Experience supporting a live mobile and/or PC game. Experience collaborating with LiveOps, Community or player-support teams to investigate player-facing issues. Experience with automated testing and continuous integration. Knowledge of game design principles and user experience. Familiarity with additional game engines, such as Unreal. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Singapore We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Team Commercial & Play Network (Wizards) Job Overview The Wizards Play Network (WPN) plays a key role in this mission — assisting retailers, nurturing active play communities, and delivering excellent player experiences. The WPN Retail Development Representative takes charge of growing and sustaining the Wizards Play Network throughout a varied, multi-market region spanning APAC. This position handles partner onboarding, retailer relationship management, and market expansion work across multiple markets characterized by diverse languages, regulatory settings, and retail progression levels. Based in Singapore, the role is at the operational hub of the region. It enables efficient travel connectivity, aligns timezones across the group, and is close to the region's most developed WPN market. Location and Work Arrangement This role is based at our Singapore office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do WPN Partner Onboarding & Retailer Support Lead the end-to-end onboarding process for new WPN retail partners across all seven markets Serve as the primary point of contact for existing WPN retailers, handling critical issues, product support queries, and account management Maintain accurate records of retailer status, tier, and engagement across the region Wizards Play Network Development Develop and carry out Wizards Play Network growth plans, to drive store growth and develop the Southeast Asia region. Identify and prioritize new partner opportunities based on local market potential to help expand play and commercial availability across the region. Support in-store and community play programs to drive product velocity through the retail channel Track and report on regional Wizards Play Network metrics Regional & Cross Functional Coordination Coordinate with the wider APAC team to ensure consistent regional strategy and shared findings Liaise with global WPN, marketing, and product teams on regional programs, launches, and promotional calendars Provide market intelligence and on-the-ground insight to inform APAC-wide planning and headcount/coverage decisions Travel & Market Presence Travel regularly within the region to visit retail partners, attend/support events, and assess market conditions directly Represent the company behind Magic: The Gathering and Dungeons & Dragons at regional trade shows, conventions, and retailer events as required What You'll Bring Experience in retail development, channel sales, account management, or distributor/partner management, ideally within gaming, hobby, toy, or FMCG retail Proven track record to manage a multi-market or multi-country portfolio independently Familiarity with the tabletop gaming, trading card game (TCG), or collectible hobby retail landscape Existing network of retail contacts in one or more of the covered markets Prior experience working within a global brand's regional field team, reporting to an offshore manager Strong cross-cultural interpersonal skills; comfortable working across markets with differing languages and business norms Willingness and ability to undertake frequent travel across APAC Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Onchain Data Team The Onchain Data team builds the core data and technology infrastructure behind OKX Web3. We connect to diverse blockchain networks and collect, process, govern, interpret, and serve large-scale onchain data, delivering accurate, real-time, and reliable capabilities to Wallet, DEX, Explorer, Risk, CeFi, and AI products. Our scope includes, but is not limited to: Multi-chain data ingestion, parsing, computation, and unified data models; Data capabilities for onchain assets, transactions, addresses, tokens, contracts, and projects; Blockchain explorers, the Project Marketplace, Onchain Data APIs, bots, and agents; Labels, risk detection, risk-control data, and security investigation capabilities; DEX trending rankings, token scoring, and other onchain data products; Global multi-region deployment, high-availability architecture, performance optimization, and system reliability; Deep application of AI in engineering, data analysis, risk investigation, and intelligent operations. You will work on challenges involving heterogeneous chains, large-scale data, real-time computation, high concurrency, high availability, data accuracy, and complex cross-functional collaboration. Your work can directly improve user experience, asset security, and business growth. What You May Work On This is a broad hiring track rather than a single fixed role. Your responsibilities will be matched to your strengths, experience, and interests, and may include one or more of the following: Design, build, and evolve onchain data infrastructure, data services, or business systems, taking ownership of the quality and outcomes of critical modules. Build multi-chain ingestion, real-time and batch computation, data governance, search, storage, and serving capabilities, continuously improving data accuracy, completeness, and freshness. Contribute to blockchain explorers, the Project Marketplace, onchain assets, labels, risk control, DEX rankings, token scoring, and related platforms or products. Identify critical technical and business problems, make sound judgments, design solutions, coordinate resources, drive execution, and review outcomes. Build highly available, high-performance, scalable global systems, while continuously improving reliability, cost efficiency, delivery efficiency, and user experience. Use AI tools deeply and explore agents, intelligent investigation, engineering automation, and intelligent operations, turning successful practices into reusable team capabilities. Collaborate with product, data, security, algorithm, operations, and engineering teams to drive cross-functional initiatives to completion. What We Value Most Hunger — Curiosity and Drive You stay curious about AI, Web3, emerging technologies, and new business domains, and can learn unfamiliar areas quickly. You do not wait for instructions when facing a problem; you proactively understand the context, identify solutions, and drive execution. You go beyond completing assigned tasks and continue to ask about outcomes, user value, and opportunities for improvement. Cognition — Cognitive Ability and Judgment You can quickly understand complex technical and business problems, build a structured mental model, and identify the core issue and key trade-offs. When information is incomplete or the situation is uncertain, you can form sound judgments based on facts and logical reasoning. You can compare the value, cost, risk, and long-term impact of different options, clearly explain your rationale, and turn decisions into executable plans and results. What We Are Looking For Strong computer science fundamentals and coding ability in at least one mainstream programming language, such as Java, Go, Python, or C++. Clear logical thinking and strong problem decomposition skills, with the ability to independently solve complex technical or business problems. Hands-on experience in one or more of the following areas: Backend and distributed systems; Real-time or batch data processing, data platforms, search, and storage; High-concurrency, high-availability systems, and reliability engineering; Risk control, security, strategy, or data analysis; AI agents, LLM applications, or engineering productivity. A strong sense of ownership and accountability, with the ability to drive initiatives through to measurable outcomes. Open, direct, and effective communication, with a willingness to solve problems across teams. Strong learning ability and growth potential. We value solid engineering fundamentals, but do not use mastery of one specific framework or middleware stack as the sole hiring criterion. Preferred Qualifications Experience with Web3, public blockchains, onchain data, wallets, DEXs, blockchain explorers, or smart contracts. Familiarity with one or more blockchain technology models, such as EVM, UTXO, or Move. Experience with large-scale data processing, stream processing, databases, messaging systems, caching, or search systems. Experience in fintech, risk control, security, e-commerce, advertising, recommendation systems, or other complex internet businesses. Proven examples of using AI tools to solve real problems and turning solutions into engineered or scalable capabilities. Ability to work in English, or experience building global and multi-region systems. Demonstrated technical judgment, business impact, or zero-to-one ownership in previous projects. The Kind of Candidate We Hope to Meet You can clearly explain the most complex problem you have solved, how you formed your judgment, and how you drove the solution to completion. You have one or more clear strengths. We do not expect experience in every area, but we value meaningful depth or exceptional potential in at least one direction. You are willing to understand users and business context instead of passively receiving requirements. You are open to unfamiliar domains and can use AI and team collaboration to close knowledge gaps quickly. You remain constructive in changing or uncertain environments and can keep moving work forward. Why Join Us Build core onchain data infrastructure for OKX Web3, directly supporting global users and multiple strategic businesses. Work deeply with diverse blockchain technologies, onchain data systems, and real-world Web3 use cases. Solve challenging engineering problems involving large-scale data, real-time computation, high availability, and global deployment. Explore the intersection of AI and Onchain Data, applying frontier technologies to data, risk control, products, and engineering workflows. Own meaningful problem spaces with the autonomy to identify issues, make judgments, and drive outcomes end to end. Access career opportunities across Mainland China, Hong Kong SAR, and Singapore. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Senior Business Manager to drive the design, development and delivery of new products for the Liquidity team. The successful candidate will be working closely with liquidity managers, engineers and stakeholders for day-to-day support/running/problem solving of the business. The candidate will gain exposure to trading strategies supported by liquidity teams ranging from delta-one to volatility products traded in orderbook, over-the-counter or de-centralized. It’s a unique opportunity for one to contribute his/her expertise and grow with the industry. What You’ll Be Doing: Support the development of liquidity business as a problem solver Coordinate with multiple teams (Legal, Compliance, Risk, Audit, Finance) to do complete business analysis ensuring proper control in place, and related matters are properly and timely addressed Overview the projects for business growth and provide support on planning, execution and coordination Identify key business points related to risk, compliance and operations, design procedures and workflows to enhance Conduct detail feature and risk analysis to facilitate technical design by engineering team What We Look For In You: Bachelor's degree in finance, economics, computer science, or related field Solid experience in business management or business analyst, preferably in financial services or trading technology Strong understanding of trading systems end-to-end logic in financial markets Experience with agile project development methodologies Excellent communication and collaboration skills Ability to manage multiple priorities and meet deadlines Ability to work effectively in a fast-paced, dynamic environment Fluent in both English and Chinese Nice to haves: Familiarity with blockchain and cryptocurrency exchanges Perks and Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States; San Jose, California, United States; United States (US) About the Team OKX’s Legal team provides legal advice and guidance to the company across all coverage areas and geographic locations, and supports business growth and development by working with all teams within the company to help them achieve their goals. We are a high-functioning, collaborative and fast-paced group of lawyers who enjoy the cutting-edge nature of our work and our industry. Our Americas Legal team is the primary legal partner to OKX's regulated businesses across the Americas region, advising on a broad range of topics including regulatory strategy, regulatory licensing, product launches, strategic partnerships and corporate matters. The Americas Legal team works cross-functionally with leaders across the company to help build and scale an innovative and compliant OKX platform. About the Opportunity This is an essential, high-profile role at one of the fastest-growing global cryptocurrency exchanges based in San Jose, CA. The Deputy General Counsel will play a central role in proactively shaping OKX's regulatory and legal strategy in the US and across the Americas. The Deputy General Counsel will act as a key partner and provide day-to-day counsel to senior business leadership of OKX's US business, including the coordination of efforts with Compliance, Risk, Operations, Finance and other functions. The Deputy General Counsel will stay abreast of all regulatory changes applicable to the digital asset space in the US, promptly communicate developments to OKX's senior business leadership, and help guide the business in identifying growth opportunities in the US. The position will coordinate the efforts of the legal function serving OKX's business in the US as well as the Americas more broadly, and will report to OKX's VP, Legal. You'll work at the intersection of law, regulations, and product innovation - driving complex licensing initiatives, advising senior stakeholders on questions without clear precedent, and helping the business move quickly through an evolving regulatory landscape. We are looking for a hands-on legal leader with sharp judgment, strong interpersonal skills, and the desire to work with a top-notch legal team. The right candidate is not afraid to jump into novel and complex matters, and is willing to roll up their sleeves and work effectively under time pressure. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. What You’ll Be Doing Develop and advance a best-in-class regulatory strategy in the US and across the Americas, including the development and maintenance of strong relationships with regulators. Engage directly with regulators and business counterparties as a key point of contact for OKX, as well as interacting on a daily basis with senior executives at OKX. Identify growth opportunities and strategic initiatives based on proactive, timely, actionable analysis of US regulatory developments. Lead and manage attorneys covering various Americas regions so that legal efforts are coordinated and consistently achieve successful outcomes. Manage a wide range of legal requests and advise on legal risk with an eye toward achieving the strategic goals of the company's regional business leaders. What We Look For In You Strong communication and leadership skills, and excellent judgment Self-starter who can contribute as both an individual and a team member, with limited reliance upon external counsel. Membership with a US state bar or equivalent. 12+ years of regulatory experience dealing with financial services laws and regulations in a highly-regulated environment. Prior experience can be in-house at a regulated financial firm or in the crypto industry (preferable), at a top-tier law firm, and/or at a regulator. Experience driving projects to completion on expedited timelines. Must be highly-driven, proactive, responsive and precise. Experience making strategic recommendations to senior management and senior legal team members. Comfortable navigating legal ambiguity. Experience advising on cross-jurisdictional legal and regulatory matters. Supervisory experience, and in particular, experience managing other attorneys. Enthusiastic about blockchain technology with experience advising on laws and regulations applicable in the crypto context. Comfortable working independently in a fast-paced, growth-stage and multi-cultural environment and across global time zones. Ability to effectively advise and build trust with business teams. Superior organizational skills. Nice to Haves Expertise in the US securities laws and regulations. Prior in-house experience in a financial services or crypto firm. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $250,444 - $360,639 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: CA - Canada Scopely is looking for a Performance Marketing Manager, Forecasting & Market Intelligence, to join our Performance Marketing team in Canada on a remote basis. At Scopely, we care deeply about what we do and want to inspire play every day, whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of people around the world daily. The Performance Marketing team helps drive sustainable player growth across Scopely’s portfolio. This role will sit at the intersection of performance marketing, forecasting, competitive intelligence, and market research, supporting active and upcoming Slate titles as they move from early planning through testing, soft launch, and global launch. What You Will Do You will build the analytical foundation behind UA forecasts and growth plans: identifying the right comparable titles, developing market and geo assumptions, maintaining benchmarks, tracking competitive signals, and turning incomplete information into structured first-pass recommendations. This is a highly analytical role for someone who enjoys working through ambiguity and can challenge, validate, and refine assumptions rather than taking inputs at face value. Develop first-pass performance marketing forecasts and supporting inputs for upcoming Slate titles, including install curves, geo-tier views, channel assumptions, paid and organic assumptions, and launch phasing. Build and maintain relevant comparable game-peer sets based on genre, monetization model, platform, geo mix, audience, launch strategy, creative approach, and expected scale. Develop and maintain dCPI benchmarks and degradation curves, combining Scopely historical performance, partner benchmarks, competitor data, and external market signals. Support organic forecasting by developing assumptions around baseline organic demand, paid-driven lift, launch/IP halo, virality, and organic-to-paid ratios. Build sensitivity analyses that make the impact of key assumptions clear and help teams understand the range of potential outcomes. Track competitor UA investment, creative trends, app-store movement, channel activity, launch performance, and regional signals across relevant games and genres. Produce recurring market-intelligence and competitive-pulse readouts that identify meaningful changes in the market and potential implications for Slate titles. Incorporate learnings from market research, beta acquisition, creative and audience testing, soft launch, and other pre-launch signals into forecast assumptions. Support regional opportunity sizing and geo strategy, including differences in acquisition cost, scale, organic potential, and market dynamics. Maintain clear assumption logs, source documentation, version history, confidence levels, and open questions so forecasts are auditable and reusable. Partner closely with Performance Marketing, Product, Strategic Marketing, Finance, Analytics, and other stakeholders to gather inputs and pressure-test assumptions. Proactively identify gaps, risks, or inconsistencies in forecasts and surface them before they become downstream planning issues. Support ad hoc Slate analyses and leadership requests with structured research, quantitative analysis, and clear first-pass readouts. Help improve and standardize forecasting methodologies, benchmark libraries, and analytical processes across Slate over time. What We’re Looking For Strong experience in performance marketing, growth, marketing analytics, strategy, market intelligence, or a similarly analytical role, ideally within mobile games, mobile apps, or another consumer digital business. Strong understanding of mobile user acquisition fundamentals, including CPI, LTV, ROAS, retention, organic acquisition, channel mix, attribution, and marginal economics. Excellent analytical skills and the ability to turn incomplete or ambiguous information into structured assumptions and useful recommendations. Strong Excel / Google Sheets skills, including building and auditing analytical models, sensitivity analyses, and forecast frameworks. Strong attention to detail and a high bar for model integrity, source quality, and assumption validation. Ability to independently pressure-test data and assumptions rather than accepting outputs at face value. Experience working with multiple data sources, including internal performance data, third-party market intelligence tools, partner benchmarks, and competitive research. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. Strong cross-functional working style and comfort partnering with teams across Marketing, Product, Finance, Analytics, and leadership. Curiosity about the games market and a desire to understand why titles grow, why acquisition economics differ, and how launch dynamics evolve over time. Ability to manage multiple concurrent workstreams and operate effectively with limited oversight. Comfortable using AI and other analytical tools to accelerate research and analysis, while maintaining independent judgment and thoroughly validating outputs. Bonus Points You are an avid gamer who understands products from a user’s perspective. Direct experience forecasting or supporting the launch of mobile games or consumer apps. Experience with tools such as Sensor Tower, data.ai, AppMagic, Looker, Appsflyer, Adjust, or similar platforms. Familiarity with global mobile UA markets and meaningful differences across the US, Tier 1 Western markets, Asia, and emerging regions. Experience analyzing competitor launches, creative strategy, market sizing, or portfolio-level performance. Familiarity with pre-launch testing, soft-launch methodology, or forecasting games with licensed or globally recognized IP. For candidates in British Columbia, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. British Columbia Annual Salary Range $75,000 — $137,000 CAD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: New York Workplace: remote About Lyra   Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be employed by Lyra Clinical Associates. About the Role The Lyra Dialectical Behavior Therapy (DBT) program provides comprehensive DBT for adults and adolescents. Both the adult and adolescent programs involve weekly individual therapy, weekly DBT skills training groups, and weekly consultation team meetings for DBT therapists. All Lyra DBT clients also have 24/7 access to a team of licensed clinicians who have been trained in DBT skills coaching for around the clock support.  As a Lyra DBT Therapist, you’ll provide individual DBT, multifamily skills groups, and parenting and family sessions for adolescents and their parents, as well as individual DBT and DBT skills groups as needed for adult clients. You’ll also assign DBT-relevant digital lessons, videos, and assessments to your clients to enhance learnings and monitor outcomes between sessions. Lyra's clients come from a multitude of backgrounds and experiences, and have varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally responsive care—an approach that accounts for the impact of cultural backgrounds on each person’s care experience. Our therapists enjoy connecting with their colleagues who share a passion for providing evidence-based care. You’ll attend weekly consultation team meetings as well as one-on-one consultation meetings with an expert DBT team lead, co-lead DBT skills groups with other DBT providers, and attend robust trainings to enhance your clinical skills. You always have a team behind you if a crisis comes up. You’re never alone, even while working remotely in the US.  This role may be a great fit if you are a New York licensed clinician with experience providing comprehensive DBT to adults. You may also find this role rewarding if:  You are passionate about helping others improve their lives through skills-based interventions and work to understand your clients through a lens of compassion and curiosity. You enjoy evidence-based practice, continual learning, and professional improvement. You prefer to work within a collaborative team environment. You are accountable for your own outcomes and performance, and are willing to embrace challenges that others may shy away from. You’re interested in a flexible part-time role. Requirements Unrestricted, active New York license (able to work independently without supervision from a licensed supervisor) without current or pending disciplinary action Any New York LMFT/LCSW licenses must have diagnostic privilege Formal didactic training in DBT required (e.g., in-house training with consultation team, tape review, 1:1 supervision; Behavioral Tech; DBT Foundational Training; DBT Intensive Training) One year minimum experience providing comprehensive DBT which includes: individual DBT therapy with clients through Stage 1 of treatment, facilitating skills groups utilizing Linehan materials, participation on a consultation team, skills coaching DBT-LBC certification preferred but not required Experience, comfort, and passion working with clients who present with high risk behaviors, including suicidal ideation and/or self-injury Willingness to obtain cross-licensing in additional states as needed to support program growth Experience providing telehealth therapy services in a virtual environment (video and teletherapy) preferred but not required Computer and live video tools literacy (e.g., Zoom, Google Meets, DoxyMe, Skype, etc.) "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the LyraWorkforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Informationform.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com.   For more information about how we use and retain your information, please see ourWorkforce Privacy Notice." As a full-time DBT Therapist, you will be employed by Lyra Clinical Associates P.C. We manage the business operations so you can focus on providing high-quality mental health care. The anticipated annual base salary range for this full-time position is $93,000 - $120,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: Competitive compensation for your session work and administrative work  This role is eligible for a sign-on bonus for qualified candidates Access to lyra for Lyrians; coaching and therapy services for you and your dependents Time off with pay policies, including vacation, sick days, and company holidays 401K with up to 3% matching Employee discount marketplace including access to pet insurance Free live and recorded webinars with CE approval from APA, ASWB, and NBCC Malpractice liability insurance policy Licensure renewal reimbursement—up to 5 state licenses Opportunity for cross-licensure sponsorship and support, if eligible A caseload of motivated clients from diverse industries and backgrounds matched with your expertise using specific search features in the care platform A new Chromebook, dedicated business support from Operations, HR, and IT professionals, and  a monthly technology stipend We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Product, Engineering & Data teams are Voodoo's central tech hub. We build innovative tech products that allow us to stay ahead of the game in the mobile industry. Part of our focus is to provide a state of the art growth-engine to distribute and scale our apps & games. By joining the team, you will take part in this journey of designing and building long-term products which help our business teams in delivering values to millions of future users! Some examples of our products include our B2B platform used by hundreds of studios around the world to ideate and test their game prototypes, as well as an automated bidding platform that predicts the full value users will generate using state of the art ML algorithms. ROLE As the Product Manager - Advertising Solutions, you will play a crucial role in the growth and success of our direct advertising capabilities. Your primary focus will be to optimize and expand our ad solutions, driving revenue while maintaining a seamless experience for our players and advertisers. You will be responsible for growing our mobile gaming vertical from the end-to-end strategy to the development and execution, collaborating closely with cross-functional teams to ensure we meet our business goals. Role is based in our Paris headquarters with 1-2 remote days per week possible. - Drive  and own product vision and roadmap, guide feature prioritization and scope, in concert with cross functional teams. - Develop iteratively, working with our growth and tech teams (Developers, Product Managers and Data Analysts) to ideate, measure impact, and learn from previous releases to inform the roadmap. - Dig in the technical aspect together with your tech team to understand tradeoffs and make informed design decisions. - Daily involvement in project development and product delivery (you will be both the product owner and the product manager). - Analyze and interpret ad solutions performance data to identify trends, opportunities, and areas for improvement. - Establish and maintain relationships with key external partners, including MMPs, ad exchanges, and mediation platforms. PROFILE - Proven experience of 5+ years as a Product Manager, with 3+ years in Adtech. - Familiar with Bidder, DSP, SSP, ad exchanges, MMPs and ad servers - Great communicator and a team player, who likes to drive results together. - A problem-solver by nature – inventive thinker that will provide insightful, innovative solutions to any problem. - Good tech culture and technical knowledge (you’re familiar with APIs, frontend and backend components) for someone who doesn’t code. - You are fluent in English, French is a plus - Interest in gaming. BENEFITS - Competitive salary upon experience - Comprehensive relocation package (including visa support) - Swile restaurant lunch voucher - Gymlib sports subscription (100% taken in charge by us) - Sidecare healthcare coverage for your family - Child day care facilities (Les Petits Chaperons rouge) - Wellness activities in our Paris office - Creative hackathon - Unlimited vacation policy - Full stack desk and computer equipment upon your request - Cooperate within a globally diverse team and a rich cross-cultural work environment

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .