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Location: 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 Opportunity: The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company. If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing: Drive risk platform product / business of OKX to world-class, align risk product initiative and development with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced Manage ML/AI model projects in risk related domains, especially identity verification domain for product features of liveness detection, face comparison, id verification, etc as well as intelligence in risk investigation and reporting Work with data science, data analyst, ML engineering and development team to build, implement, monitor and constantly improve model services Highly adaptive and comfortable dealing with ambiguity. Highly data-driven in product & business decision making process Passionate about customer experience; always driven to seek customer feedback and obsessed with customer experience improvement & optimization Define and monitor all levels of metrics to measure the success of the product; drive epic and sprint level prioritization and product backlog grooming etc Strong and positive collaboration skills to lead and drive the entire product research, design and development process with cross-functional stakeholders What We Look For In You: Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment Nice to Have: Past experience in AI and machine learning Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology Fluent in Mandarin and English 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-ONSITE #LI-WWW 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. About the Opportunity We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation. The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship. What You’ll Be Doing 1. Company AI Strategy & Transformation Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans: Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets. Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms. Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions. Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications. Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points. Identify and evaluate strategic AI acquisition, investment, and partnership opportunities. 2. System Building & Technical Execution Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes: Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale. Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift. Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end. Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction. Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team. 3. Organizational AI Enablement & Adoption Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team: Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions. Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows). Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation. Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support. Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent. Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs. What We Look For In You 10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab). Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency). Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks. Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools). Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications. Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. Nice to Haves Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements. Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users). Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation. Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community. Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks). Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops). 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! 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. #LI-VW1 #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: 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. About the Opportunity We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation. The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship. What You’ll Be Doing 1. Company AI Strategy & Transformation Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans: Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets. Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms. Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions. Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications. Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points. Identify and evaluate strategic AI acquisition, investment, and partnership opportunities. 2. System Building & Technical Execution Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes: Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale. Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift. Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end. Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction. Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team. 3. Organizational AI Enablement & Adoption Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team: Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions. Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows). Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation. Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support. Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent. Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs. What We Look For In You 10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab). Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency). Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks. Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools). Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications. Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. Nice to Haves Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements. Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users). Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation. Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community. Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks). Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops). 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! 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. #LI-VW1 #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: United States; Canada Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on. As a Lead Data Scientist, you will: - Drive the mission forward. - Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions. - Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines. - Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work. - Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production. - Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy. You may be a good fit, if you have: - Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling - A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match - Experience leading analytics or data science teams, with a track record of making smart people faster - Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential) - Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds - Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative - A leadership style grounded in empathy as much as in data FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design & Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: London; New York; Edinburgh; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole. Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role. Key responsibilities: - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Extremely strong software engineering skills. - Strong expertise in designing and conducting data collection tasks, including working with human annotators. - Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on experience training large language models (LLMs) on distributed training infrastructures. - Familiarity with evaluating and improving the generalizability and robustness of ML systems. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Excellent communication skills to collaborate effectively with cross-functional teams and present findings. - One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Tbilisi; Belgrade; Budapest; Madrid; Riga; Tallinn; Valencia; Vilnius; Yerevan Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform. You will: Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding. Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions. Generate and test hypotheses through experiments, modeling, and data analysis. Design and implement prototypes and MVP solutions, validating ideas before production implementation. Train, evaluate, and iterate on machine learning and deep learning models. Contribute to the development of AI-driven features, including computer vision systems and AI agents. Collaborate with engineers to translate research prototypes into production-ready solutions. Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge. Requirements 4+ years of experience in AI/ML research or applied machine learning. Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms. Solid understanding of machine learning and deep learning methods. Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation. Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.). Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes). Ability to independently formulate research hypotheses, design experiments, and evaluate results. Strong analytical thinking and ability to solve complex problems with limited prior solutions. Nice to have Experience with 3D data processing (point clouds, meshes, spatial data). Experience building or experimenting with AI agents or LLM-based systems. Experience training and fine-tuning neural networks. Interest in geometry, graph theory, or computational geometry. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Warsaw; Amsterdam; Barcelona Workplace: hybrid About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform. You will: Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding. Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions. Generate and test hypotheses through experiments, modeling, and data analysis. Design and implement prototypes and MVP solutions, validating ideas before production implementation. Train, evaluate, and iterate on machine learning and deep learning models. Contribute to the development of AI-driven features, including computer vision systems and AI agents. Collaborate with engineers to translate research prototypes into production-ready solutions. Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge. Requirements 4+ years of experience in AI/ML research or applied machine learning. Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms. Solid understanding of machine learning and deep learning methods. Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation. Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.). Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes). Ability to independently formulate research hypotheses, design experiments, and evaluate results. Strong analytical thinking and ability to solve complex problems with limited prior solutions. Nice to have Experience with 3D data processing (point clouds, meshes, spatial data). Experience building or experimenting with AI agents or LLM-based systems. Experience training and fine-tuning neural networks. Interest in geometry, graph theory, or computational geometry. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play. What You’ll Bring: Background in Computer Science, Engineering, or related discipline Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc. - Data Structure and Algorithms are the most important fundamentals in need, etc. Clean and Concise coding style Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine Experience working in Linux environments is a huge plus Experience building distributed or data intensive systems is a big plus Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts Understanding of basic probability, statistical inference, software solvers, mathematical optimization is a plus, but not essential Interest and experience in LLM, agentic systems is a plus, but not essential What We Offer: Competitive compensation package Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: 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. About the Opportunity: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing : Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations. Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies Development of machine learning models Partner with product and engineering team in implementing features and models, and enhancing systems What We Look For In You: Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 4+ years of fraud analytics experience in financial services or FinTechs Crypto/Blockchain experience Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.); Successful track record of owning and driving large, complex data analysis projects. Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature. Experience in a fast-paced startup environment with a strong level of initiative; and Ability and willingness to travel as needed. Strong communicator in both writing and speaking Multi-tasking and strong project management skills Nice to Haves: Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and 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-ONSITE #LI-WWW #LI-HYBRID #LI-ED1 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: San Jose, California, United States 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: The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company. If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing: 7+ years of product management experience in platform products, preferably risk management platform domain with experience in decision engines, modeling services, risk analytics tooling, case management, etc Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment What We Look For In You: Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment Nice to Have: Degrees of Masters, MBA, PHD are welcomed Risk strategy or compliance related experience Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology Past experience in AI and machine learning 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! OKX Statement: The salary range for this position is $223,333.00 to $268,333.0 0. 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 Okcoin and OKX internal or external careers site. 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. #LI-HYBRID#LI-HYBRID #LI-ED1 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: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: - Design and oversee data collection tasks, including supporting human annotators and ensuring data quality. - Develop and apply statistical methods to evaluate the quality and reliability of datasets. - Analyse and assess the generalisability and robustness of ML systems across diverse use cases. - Collaborate with teams to improve dataset quality and model performance. - Train and fine-tune large language models (LLMs) on distributed training infrastructures. - Conduct experiments to evaluate model performance and identify areas for improvement. Qualifications: - Extremely strong software engineering skills. - Strong expertise in designing and conducting data collection tasks, including working with human annotators. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Experience analysing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on experience training large language models (LLMs) on distributed training infrastructures. - Familiarity with evaluating and improving the generalisability and robustness of ML systems. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Excellent communication skills to collaborate effectively with cross-functional teams and present findings. - One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Jose, California, United States 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: The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results. An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting. What You’ll Be Doing : Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection. Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams. Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences. Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations. Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies Development of machine learning models Partner with product and engineering team in implementing features and models, and enhancing systems What We Look For In You: Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 4+ years of fraud analytics experience in financial services or FinTechs Crypto/Blockchain experience Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.); Successful track record of owning and driving large, complex data analysis projects. Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature. Experience in a fast-paced startup environment with a strong level of initiative; and Ability and willingness to travel as needed. Strong communicator in both writing and speaking Multi-tasking and strong project management skills Nice to Haves: Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and 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! OKX Statement: The salary range for this position is $223,661.00 to $268,333.00 . 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 Okcoin and OKX internal or external careers site. 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. #LI-HYBRID #LI-ED1 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: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking an Assessment, Monitoring, and Evaluation (AM&E) Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Assess, monitor, and evaluate FMF and IMET funded programs on an ongoing basis. Research and analyze program data to identify program trends. Identify mechanisms to collect program data. Develop country reports, trip reports, annual assessments, and deep dive analyses. Coordinate and collaborate with the appropriate stakeholders within the State Department and Department of Defense. Conduct all monitoring-related tasks for FMF and IMET programs, including data collection, designing monitoring plans, and developing evaluations and assessments. Contribute substantively to the design of and conduct field testing of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, and other analytical tasks. Qualifications A Bachelor’s degree from an accredited university and 8 years of relevant experience, or a Master’s degree and 5 years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent communication skills, including writing and presenting findings and analyses regarding the impact of security assistance. Ability to provide strong analysis and critical thinking to complex matters of security assistance/ security cooperation, military operations, and international security. Experience related to: Developing program designs and monitoring plans Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders in different organizations and departments Organized, detail-oriented, and passionate about international security cooperation. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and adaptable to change, including changes in processes, requirements, and priorities. Have a current passport and able to travel nationally/ internationally to participate in conferences, oversight visits, and occasional exercises. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint) Preferred Qualifications Experience in the military or supporting military security cooperation/ security assistance programs, and/or experience working with foreign militaries. Experience with international security advising or related military advising missions. Regional experience with European militaries or security assistance programs. Creative problem solver with a strong statistical background. Experience with Tableau and NVivo is a plus. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $100,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Senior Data Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Providing quantitative analytical support to produce country papers and perform data quality checks to ensure integrity of the data. Coordinating with the client and with the core M&E team regarding additional data points to consider and explore for further analysis. Designing and populating easy to read and digestible mockups of data visualization options to present to the client. Documenting data calculation steps and methodologies applied to the analysis as needed. Analyzing country trends for regional and global comparisons. Producing approved final data visualizations of the countries to be included in reports. Adapting to changing needs of the project and the team as needed. Qualifications Bachelor's degree in relevant field of study and at least six (6) years of data analytics experience. Active Secret Clearance required. Expertise aggregating, normalizing, and displaying data from multiple sources, and conveying nuanced distinctions and conclusions to end users while ensuring utmost accuracy. Experience applying quantitative research methods, operating or managing databases, and applying statistical methods to conduct analysis. Ability to perform advanced quantitative analyses of structured and unstructured data, especially working with, and manipulating large data sets in Excel. Ability to work independently and meet deadlines with minimal supervision. Experience designing data visualizations to demonstrate data trends. Comfortable with the changing needs of the client and the team. Strong attention to detail. Preferred Requirements: Experience creating data dashboards using tools such as Tableau or Flourish. Experience building APIs. Prior experience with DOS programming. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $105,000 — $155,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. As a pioneer global remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to hire high performing talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires connecting performance outcomes to hiring. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the section of world class talent. Our team works closely with the business to oversee the hiring process and encourage best practice whilst offering an expert viewpoint on talent assessments. We are not recruiters;  it's about the science of talent and performance, raising awareness and offering deep analytical insights across the business to enable them to select the best talent available from our global talent pool. We have a brand new opportunity for a Talent Scientist in the team who will lead on teaching our senior executives how to source senior talent. Your key skills will be: Experience of identifying and approaching senior leadership talent from either a professional search firm or from an in-house search function, working within the Technology industry. Excellent knowledge tools used to identify future talent including market mapping. Strong analytical problem solving ability to identify trends and patterns from data, with SQL or Python. Location: EMEA - Home based The role entails Developing a search strategy for our business, ensuring processes enable headhunted talent to move smoothly through the pipeline. Coaching our senior leadership teams to drive hiring outcomes, enabling them to become expert at approaching and attracting exceptional talent for their management and leadership positions. Driving talent analytics to provide our business with real-time insight, using SQL or Python to identify trends in data. Conducting in-depth behavioural talent interviews providing considerable insights into motivations and behaviours. Building key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes Seeking continuous improvement on hiring processes and outcomes. Bringing a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this. What we are looking for in you Professional experience of headhunting from a reputable executive search firm or in-house search function, with an informed opinion of strategies and experience of successfully sourcing senior talent in the Technology industry. Exposure or appreciation of psychometric assessments. Strong analytical problem solving ability to identify trends and patterns from data using SQL or Python, with proficiency in LinkedIn talent modules.. Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview. An exceptional academic background including a Bachelors or Masters degree in a Psychology or people based subject and a good level of Maths from High School. A high level of personal organisation to work remotely and be effective. Willingness to travel to company events 2-4 times a year, for up to two weeks each. Other skills you may bring Experience of more advanced analytical and statistical analysis to interrogate data. Exposure to the following tools: Greenhouse ATS, Thomas International and DISC profiling. Psychometric validity and reliability metrics. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: 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 Opportunity: The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices. Our vision is building a world class smart and scalable risk service that will prevent, detect, and respond to fraud which will improve business revenue, reduce user friction, and enhance user trust . As the leader of it, you will own and build OKX fraud risk systems and manage the roadmap to enable our legitimate customers to gain access to a wide array of crypto assets. The scope of this role includes designing and developing risk models, risk products and risk platforms, integrating with fraud & risk vendors, enabling healthy business growth and enhancing customer risk experience. This role will work closely with risk strategy, risk analytics, operations, engineering partners and compliance to achieve the business success goals of the company. If you are an entrepreneurial product leader, who doesn't hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing: Drive risk product / business of OKX to world-class, align risk product initiative and development with business, engineering and risk strategy teams so that financial losses, customer experience and business growth are well balanced Lead product roadmap, strategy and execution of Risk Platform; develop and champion product features, including but not limited to decision engine, feature stores etc, to empower data strategy & data science teams to easily implement, execute, and carry out decision strategies across the entire user journey, and at the same time detect & prevent financial losses due to scams, ATO and other fraud activities Lead ML/AI model projects as the foundation of the Risk Platform; work with data science, data analyst, ML engineering and development team to build, implement, monitor and constantly improve model services Highly adaptive and comfortable dealing with ambiguity. Highly data-driven in product & business decision making process Passionate about customer experience; always driven to seek customer feedback and obsessed with customer experience improvement & optimization Define and monitor all levels of metrics to measure the success of the product; drive epic and sprint level prioritization and product backlog grooming etc Strong and positive collaboration skills to lead and drive the entire product research, design and development process with cross-functional stakeholders What We Look For In You: Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered. 5+ years of product management experience in the risk management area, familiar with risk decision engines, modeling services, risk analytics tooling etc Ability to translate product strategy into detailed requirements, and communicate the requirements clearly to cross-functional teams, including but not limited to engineering, business, partnership, operation, merchant tech etc; solid technical background with understanding and hands-on experience in software development High proficiency delving into the technical product, system and implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Proven track record of managing all aspects of a successful product throughout its lifecycle, including product research, design, delivery and launch Data oriented - identifying, defining, tracking and acting upon impact metrics. Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Experience leading cross functional teams to deliver complex projects with multiple dependencies and constraints in a highly dynamic environment Nice to Have: Past experience in AI and machine learning Crypto/Blockchain experience or a passion for Bitcoin, crypto, Defi and blockchain technology Fluent in Mandarin and English 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-ONSITE #LI-WWW 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Figma’s customer base continues to expand and diversify, and new technological advancements in AI and generative design emerge, the opportunity for AI experience engineering is greater than ever. You’ll collaborate closely with a cutting edge AI Research team and your work will help raise the ceiling of what’s possible for designers and lower the floor of who can design. We are seeking an accomplished and experienced AI Product Engineer who has built generative AI products to join our team and lead our AI efforts from inception to implementation. Join us in molding the future of AI at Figma! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent We’d love to hear from you if you have: 5+ years of experience of Software Engineering, with 1 or more years of developing generative AI products Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code While it’s not required, it’s an added plus if you also have: Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.