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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

-Define and execute the DevOps and platform engineering strategy, aligning the platform roadmap with company, product and engineering priorities. -Lead, mentor and grow the team through hiring, performance management, career development and succession planning.

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have ~35 Product Managers owning and running Squads across our Pillars. Product Management defines what Cleo builds and why it matters. From setting direction to prioritising what ships, Product ensures we’re solving the right problems for our users and the business. As we scale, this shifts from “managing a roadmap” to “shaping the long-term vision and impact of Cleo’s products.” ✨ ABOUT THE ROLE ✍️ We’re hiring a Senior Product Manager to own Cleo’s payment rails and money-movement roadmap - how customers bring money in, move it across Cleo products, and access it when they need it. You’ll define the future of direct deposit, internal transfers, and intelligent funding orchestration, working closely with Engineering, Risk, Compliance, and our banking and card partners. Key responsibilities - Own the roadmap for how customers move money into, around, and out of Cleo - direct deposit top-ups, internal transfers (card, EWA, secured credit card, Wealth products), and outbound movement. - Build deep fluency in US payment rails (ACH, FedNow, card network rails) and the interchange/cost structure underneath them; represent Cleo in shaping partner roadmaps with the likes of Marqeta and Mastercard. - Partner with banking and processing partners (e.g., TabaPay-type partners, partner banks) to orchestrate money movement - this is not a "we are the platform" role; it's about working fluently across multiple partners and rails. - Develop a point of view on stablecoin and crypto as a future rail for moving money in and out of Cleo, and bring that thinking into the roadmap. - Contribute to the intelligent funding orchestration vision - determining at the point of a transaction what funding source (EWA, BNPL, savings, checking) best serves the customer, with consent, and executing that agentically. - Set and communicate a clear narrative for why payment rails and money movement matter - this space is not well understood internally, and you'll need to make the case repeatedly to stakeholders who don't have payments backgrounds. - Maintain flawless execution and attention to detail on cash inflow/outflow while also building the longer-term vision. WHAT WE'RE LOOKING FOR 🕵️ Must-have - Deep, hands-on US payment rails experience (ACH, card networks, interchange economics) - recent and substantial, not adjacent. - Experience working across multiple payment partners/rails rather than as "the platform" itself - e.g., time at a card program, neobank, or fintech that works with partner banks and processors. - Comfort owning ambiguity and setting vision where none has been defined yet. - Strong narrative/storytelling ability paired with flawless execution. Nice-to-have - Fluency in crypto/stablecoin as a payment rail, with a point of view on where the industry is heading. - International payment rails exposure (e.g., UK), given Cleo's card expansion - explicitly lower priority than US rails depth. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Marketing Manager, Competitive, you own GitLab's competitive point of view on AI and agentic software development and serve as the authority on our market differentiation. You consult regularly with sales, product teams, investor relations, industry analysts, and leadership on competitive strategy and roadmap implications while publishing external thought leadership. With deep experience in the modern SDLC and agentic tooling, you collaborate with developer advocacy and conduct primary market analysis to drive positioning, field assets, competitive plays, and partnership strategy. In your first year, you will establish a defensible AI and agentic narrative and an agile operating rhythm that turns market signals into action. Reporting to the Senior Director, Product & Solutions Marketing, you will operate with executive visibility and autonomy, measuring success by win rates, competitive displacements, and market leadership in the AI and agentic category. Some examples of projects: Define GitLab's differentiated position against AI-native entrants competing for the SDLC Publish thought leadership that shapes how the market frames agentic development Assess new entrants and share relevant market-shaping insights across the company Shape partnership strategy based on competitive footing Arm executives with competitive narrative for customer and board conversations What you'll do Own GitLab's competitive positioning for AI and agentic software development end to end, from primary landscape analysis through understanding of competitive tools and developer-level perceptions. And turn that into the narrative the field, analysts, and executives all use Own the operating rhythm that converts competitive signal into a position and action within days Give Product an opinionated read on what competitive movement means for roadmap sequencing, bringing evidence and a recommendation rather than a summary of what competitors shipped Build the compete assets, plays, and objection handling the field uses against named competitors, define the sales motion that moves win rate, then measure whether it did Partner with Growth and Campaigns on competitor displacement campaigns, accountable for their contribution to pipeline Brief Investor Relations, industry analysts, sales, and executive leadership with the same rigor, owning the competitive-landscape narrative with analysts and PMMs Raise the competitive bar across the PMM team Ability to travel if needed and comply with the company's travel policy What you'll bring Proven impact at the organizational and industry level Deep domain expertise in SDLC, DevSecOps, and agentic software development to engage technical buyers and executive audiences Track record of driving competitive positioning that delivers measurable win-rate impact Fluency in the AI/agentic coding landscape and competitor exposure areas Established thought leadership with industry recognition (speaking, publications, advisory roles) Experience briefing executives, investor relations, and industry analysts Ability to form and articulate a clear point of view quickly despite incomplete information Strong communication skills to translate complex technical concepts into clear narratives Practical experience using AI tools within your workflow Self-directed, data-driven mindset using win/loss insights to guide strategy About the team Product & Technical Marketing at GitLab is the engine behind how GitLab positions, launches, documents, and evangelizes its value proposition for enterprises worldwide. We connect GitLab's product capabilities to customers and prospects across technical personas and executive buyers, and we partner closely with Product Management, Product Design, Growth Marketing, Comms and Social, Field Enablement, Sales, and the broader go-to-market organization so what we build lands in market with clarity, impact, and relevance. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: UAE - Dubai Workplace: onsite 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers. You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization. You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics. What you’ll do Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches. Who you are Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. Nice to haves Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy. This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company. You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence. This is a highly strategic leadership role with significant influence over the future operating model of the company. WHAT YOU'LL DO: AI Transformation Strategy - Define and execute Humanoid's enterprise AI transformation vision and roadmap. - Develop a company-wide AI strategy aligned with business objectives and growth plans. - Establish priorities, investment frameworks, and governance structures for AI initiatives. - Advise executive leadership on emerging AI opportunities, risks, and market developments. - Build an AI-first culture focused on innovation, productivity, and continuous improvement. - Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization. AI Operating Model & Continuous Improvement - Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel. - Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums. - Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. - Identify, prioritize, and scale high-impact AI use cases across all functions. - Ensure successful pilots are translated into enterprise-wide capabilities. - Drive the development of AI-native ways of working across the organization. Enterprise AI Governance - Establish policies, standards, and controls for responsible AI deployment. - Define governance frameworks covering: - AI ethics and responsible AI - Security and cyber risk management - Data governance and privacy - Human-in-the-loop controls - Model evaluation and monitoring - Compliance and audit readiness - AI vendor and platform governance - Ensure all AI solutions align with corporate, legal, and regulatory requirements. Organizational Transformation & Change Management - Lead enterprise-wide AI adoption and change management programs. - Build AI literacy across leadership teams and employee populations. - Establish AI Champions networks and communities of practice. - Drive workforce enablement and behavioral change initiatives. - Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity. Business Impact & Value Realization - Define KPIs and success metrics for AI transformation initiatives. - Measure and report: - Automation maturity - Productivity improvements - ROI of AI initiatives - User adoption - Quality and accuracy outcomes - Cost efficiencies - Operational performance improvements - Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board. Cross-Functional Leadership - Lead and mentor AI Leads and transformation teams across the business. - Partner closely with: - CEO and Executive Leadership Team - Business Transformation - Engineering - IT - Finance - HR - Supply Chain - Compliance - Cybersecurity - Align AI initiatives across functions to avoid duplication and maximize business impact. - Promote collaboration between technical and business teams. Innovation & External Ecosystem - Continuously evaluate emerging AI technologies, platforms, and market developments. - Build relationships with AI vendors, research institutions, industry partners, and startups. - Identify opportunities to create competitive advantage through AI. - Benchmark Humanoid against leading AI-native organizations and establish best practices. WHAT WE'RE LOOKING FOR - 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles. - Proven track record leading large-scale organizational transformation programs. - Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. - Experience designing enterprise operating models, governance frameworks, and transformation programs. - Strong understanding of business process transformation and continuous improvement methodologies. - Experience leading cross-functional initiatives involving business, technology, and operations teams. - Exceptional executive communication and stakeholder management skills. - Strong analytical, strategic, and systems-thinking capabilities. - Demonstrated ability to translate emerging technologies into measurable business outcomes. - Experience building AI adoption programs at enterprise scale. Nice to have: - Experience building AI Centers of Excellence (CoE) or enterprise AI programs. - Experience deploying AI agents and intelligent automation solutions at scale. - Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations. - Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies. - Experience with enterprise knowledge management and AI-driven decision support systems. - MBA or advanced degree in Engineering, Computer Science, Business, or a related field.   WHAT SUCCESS LOOKS LIKE: Within your first 12 months, you will have: - Established Humanoid's AI Transformation Office and governance framework. - Embedded AI maturity assessments into business capability reviews. - Delivered multiple AI initiatives with measurable business impact. - Built and operationalized an AI-first operating model across engineering and business functions. - Increased automation maturity across critical value streams. - Improved productivity through AI-enabled workflows and intelligent automation. - Created a sustainable AI adoption culture supported by governance, training, and continuous improvement. - Positioned Humanoid as one of the world's leading AI-native robotics companies. WHAT WE OFFER   - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Build the iOS platform that helps engineers ship confidently. As Notion’s mobile team grows, we’re turning the first generation of mobile foundations into a durable platform: clearer architecture, ergonomic testing, dependable observability, and faster CI/CD. This role is broad—you’ll shape the iOS stack end to end, from shared frameworks and build systems to release quality, with opportunities to work across our shared Rust layer and AI infrastructure for mobile development. You’ll pair with mobile AI and core product engineers to understand friction, evaluate new iOS capabilities, and decide what should become part of the platform. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Make the iOS platform agent-ready: Give engineers and agents dependable ways to build, run, test, screenshot, and iterate through the app so mobile teams can move faster without lowering the quality bar. - By the end of your first year, define how iOS features are built: establish architecture and ship developer tools, then partner with product engineers to adopt them. - Raise the bar for iOS reliability and release quality: Improve the systems that catch regressions, prevent incidents, and help engineers understand issues quickly across builds, tests, observability, and CI/CD.   SKILLS YOU'LL NEED TO BRING - Deep iOS engineering experience at scale: You’ve helped build and deploy mobile applications used by millions, and understand the reliability, performance, and operational practices required at that scale. - Platform or infrastructure experience: You’ve worked below the product-feature layer on mobile CI/CD, testing platforms, build systems, developer tooling, or shared frameworks—and can turn recurring friction into durable systems. - Strong architectural judgment: You’re familiar with multiple approaches to iOS architecture and can explain the trade-offs clearly, choosing patterns that make features easier to build, test, and maintain. - Cross-functional influence: You can partner closely with product engineers, understand their pain points, and earn adoption for new platform APIs, workflows, and standards without relying on authority. - AI-native engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $168,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Ищем сильного ML Researcher уровня Senior / Staff для сложной исследовательской задачи на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. Необходимо моделировать поведение участников и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget.

• Оптимизация скорости, стоимости и стабильности inference больших LLM. • Есть production-опыт оптимизации LLM inference: SGLang / vLLM / TensorRT-LLM.

- Work closely with the in-house back-end development team to ensure efficient integration of APIs. - Work with in-house front-end development team to ensure timely delivery of high-quality code.

- Minimum 3 years of experience building and maintaining production-level AI applications powered by LLMs. - At least 3 years of practical experience in Agentic Engineering, covering the entire process from solution design and implementation to integration, deployment, and ongoing support of AI agents.

· Разрабатывать компоненты платформы целиком. · Собирать требования, строить модели данных и описывать методики расчётов.

🔹 Run the full recruiting cycle from hiring-manager brief to offer. 🔹 Source, screen and attract candidates across USA, MENA, EU and LATAM.

Location: Ukraine Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE You will lead the accounts receivable process, from cash application to collections, reconciliation and revenue-related reporting. You will make sure every transaction across all payment providers is captured accurately, reconciled on time and accounted for in line with applicable standards. You will manage the full AR cycle: gross revenue, refunds, fees, chargebacks, cash collections. PAYMENT PROVIDER RECONCILIATION - Own daily, weekly and monthly reconciliations across multiple payment providers (e.g., Stripe, PayPal, Finix, Nuvei, Worldpay) - Reconcile gross sales, fees, chargebacks, refunds, disputes, reserves and payouts to bank statements and the general ledger - Investigate and resolve variances, timing differences and unmatched items promptly - Manage multi-currency settlements and FX differences Accounting standards and revenue accounting - Apply relevant standards, including IFRS 15 / ASC 606 (revenue recognition), IFRS 9 / ASC 326 (expected credit losses), and IAS 21 / ASC 830 (foreign currency) - Maintain accurate deferred revenue balances - Calculate and review provisions - Prepare and review AR and deferred revenue roll-forwards, journal entries and supporting schedules - Ensure correct sales tax treatment in coordination with Tax team Month-end close, controls and audit - Deliver AR-related close tasks on schedule and to a high standard of accuracy - Design, document and maintain internal controls over AR and cash - Serve as the primary contact for internal and external auditors on AR, revenue and cash matters - Prepare clear variance analysis and KPI reporting for Finance leadership QUALIFICATIONS - Strong tech skills and tech-savvy mindset. Proven ability to adopt and leverage AI technologies, and AI agents. AI adoption is an essential part of how the Company operates across all processes. - Bachelor's degree in Accounting, Finance or a related field; professional qualification (CPA, ACCA, CA, CMA or equivalent) strongly preferred - [7-8]+ years of accounting experience, including [2-3]+ years in a role in AR, revenue accounting or finance operations - Proven experience in a subscription, SaaS, digital or recurring-revenue business - Strong hands-on experience reconciling high-volume transactions across multiple payment service providers and currencies - Solid working knowledge of IFRS and their practical application to subscription models - Experience with deferred revenue accounting, chargebacks, refunds and payment-dispute handling - Advanced Excel / Google Sheets skills; comfortable working with large datasets - Strong analytical, problem-solving and communication skills, with attention to detail and the ability to work to tight deadlines - Technical experience is required, preferably with basic SQL knowledge or junior-level developer skills. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

-разбираешься в бизнес-контексте. -общаешься с Product, Mobile, Operations.

Location: Germany Workplace: Hybrid WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels.   WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source)   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for an experienced Technical Product Manager to join Systems Engineering and own the roadmap for the capabilities and technology that power Fivetran’s global Customer Support organization. You’ll sit at the intersection of Support and Engineering, partnering with Support leaders to understand their biggest challenges, define what we should build, and work with technical teams to deliver scalable solutions. You’ll work across case management, customer portals, service delivery, workforce workflows, and automation, with Zendesk at the center of a broader ecosystem of APIs, integrations, and custom services. You’ll work with a diverse, global group of stakeholders and need to build trust quickly, flex your communication style, and confidently guide teams toward the right solution rather than simply taking requests at face value. This role is ideal for someone who moves quickly, asks great questions, and can bring structure to loosely defined problems. You’ll need strong technical instincts and the confidence to go beyond the initial request, understand the underlying problem, and recommend a simpler or more scalable approach. Technologies You’ll Use Zendesk, Salesforce, Jira, Slack workflows, APIs and integrations, Lucidchart, SQL, Looker, Google Workspace, AI and automation technologies, and other systems supporting Fivetran’s customer experience. What You’ll Do As a TPM for our Support systems, you'll be responsible for defining what we build, shaping how we deliver it, and driving alignment across stakeholders to ensure successful execution. Product Management Partner with Support leadership and cross-functional stakeholders to build and maintain the Customer Support systems roadmap. Intake, evaluate, and prioritize requests across case management, customer portals, service delivery, workforce workflows, and support automation. Own requirements gathering, process analysis, and solution scoping for prioritized initiatives. Translate ambiguous business needs into clear product, process, and systems requirements, asking the right questions to uncover the broader problem behind the request. Identify opportunities to simplify workflows, improve agent and customer experiences, and increase Support efficiency through automation and better systems. Technical Leadership Partner with Systems Engineering to design scalable solutions across Zendesk and its broader integration ecosystem. Develop deep expertise in Support processes, Zendesk capabilities, APIs, integrations, automation, and data flows to support solution design, systems analysis, testing, and implementation. Shape technical tradeoffs that balance business value, customer experience, delivery effort, quality, scalability, and maintainability. Evaluate opportunities to use AI, automation, and evolving support technologies to improve service delivery while thoughtfully incorporating human oversight where needed. Ensure delivered solutions meet business requirements and quality expectations through active participation in testing and validation. Stakeholder Management & Delivery Build trusted partnerships across a diverse, global stakeholder group spanning Support, Product, Engineering, Professional Services, Legal, and other teams. Adapt your communication and working style across stakeholders while confidently providing recommendations and constructively challenging ideas when needed. Drive alignment on priorities, requirements, tradeoffs, and implementation approaches. Partner with technical and business teams throughout design, testing, rollout, enablement, and adoption. Communicate progress, risks, decisions, and business impact clearly to stakeholders at all levels. Skills We’re Looking For 7+ years of experience in Technical Product Management, Business Systems, Technical Business Analysis, Product Ownership, Implementation Consulting, or a related technical role. Experience working with customer support, customer experience, or other complex business workflows in a SaaS or technology environment. Strong technical foundation with experience working across APIs, integrations, data flows, automation, and interconnected business systems. Demonstrated ability to take loosely defined stakeholder requests, ask the right questions, and translate them into clear problems, requirements, and scalable solutions. Strong product judgment with the ability to look beyond a requested solution, understand the underlying need, and recommend simpler or more effective approaches. Excellent stakeholder management and communication skills, with the ability to build trust and adapt your approach across technical and non-technical audiences. Ability to operate effectively in a fast-paced environment with a high volume of requests and competing priorities. Strong execution skills with experience carrying initiatives through requirements, design, testing, rollout, and adoption. Curiosity about AI, automation, and emerging technologies and how they can improve customer and employee experiences. Bonus Skills Hands-on experience administering Zendesk or building applications and integrations using the Zendesk API. Experience with AI-enabled customer support, agent-assist, or workflow automation technologies. Experience with workforce management, premium support, or differentiated service models. Experience supporting Professional Services or other post-sale customer workflows. Experience integrating or consolidating customer support platforms, portals, or processes. #LI-DC1 #LI-HYBRID Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Москва Мы в Kandinsky строим платформу для генерации изображений и видео. Команда Harness отвечает за слой инструментов и пайплайнов вокруг моделей: он превращает исследовательские чекпоинты в решения, которыми пользуются миллионы пользователей. Мы ищем ML-инженера, который будет развивать этот слой, автоматизировать сценарии работы с визуальным контентом, влиять на выбор моделей и подходов и помогать командам доводить модели до продукта. Обязанности * разрабатывать агентные системы: сценарии, инструменты, оркестрация вызовов * решать прикладные задачи с помощью CV- и генеративных моделей: от постановки до работающего в проде решения * собирать пайплайны обработки и генерации изображений и видео, автоматизировать сценарии работы с визуальным контентом * адаптировать модели под конкретные домены и продуктовые кейсы * искать причины деградаций качества и предлагать способы их устранения * работать в связке с исследователями, продуктом и бэкендом, переводя продуктовые требования в технические решения. Требования * уверенное владение Python и фреймворками глубокого обучения (PyTorch) * понимание разницы между agentless- и agentic-решениями, опыт написания обоих и умение понимать, когда что уместно * понимание устройства актуальных CV- и GenCV-моделей * умение работать с контейнеризацией (Docker, Kubernetes) * опыт интеграции генеративных моделей * понимание бизнес-метрик и их переноса на модельные метрики * опыт работы с opensource-моделями: выбор под кейс, настройка гиперпараметров, дообучение Условия * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * льготная программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.