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Cloud Partner Enablement Lead
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 Anthropic is looking for a Partner Enablement leader to own how we enable our cloud partner ecosystem. Claude reaches a significant share of enterprise customers through AWS, Google Cloud, and Microsoft Azure, and the sellers, solution architects, and delivery teams inside those organizations are often the first people a customer talks to about deploying frontier AI. This role makes sure they are ready. You will translate Anthropic's product and go-to-market strategy into repeatable programs that help cloud partner field teams find, qualify, and win Claude opportunities, and then deliver them well. That means building the enablement infrastructure end to end: onboarding, launch readiness, sales and technical training, certification pathways, co-sell playbooks, and the metrics that tell us whether any of it is working. The job runs in both directions, and internal enablement is a sizable portion of it. Just as important as readying partner field teams is making sure Anthropic's own GTM organization knows how to work with the hyperscalers: which partnerships we have and what each one actually covers, how co-sell and marketplace mechanics differ across the three providers, when to pull a partner into a deal, and the offering nuances that determine what we can and cannot do through each channel. This is a build role as much as a run role. Cloud partner enablement at Anthropic is early, so you will be designing the operating model at the same time as you are shipping against a fast launch cadence. You will work closely with Partnerships, Applied AI, Product Marketing, Sales, and each hyperscaler's own partner and enablement organizations. Responsibilities You will own the cloud partner enablement strategy across AWS, Google Cloud, and Microsoft Azure, defining what "ready" means for each partner motion and building the programs that get partner field teams there. That starts with the co-sell motion: you will build the playbooks that let partner sellers carry Claude into enterprise deals alongside our own team, and you will make sure those assets map to how each hyperscaler's marketplace and co-sell mechanics actually work. You will design and run scalable enablement programs rather than one-off training. That includes onboarding paths for new cloud partner teams, role-based learning journeys for sellers and a repeatable launch readiness motion so partner teams are current on every new model and capability we ship. This work runs in both directions. You will also enable Anthropic's own GTM team, making sure sellers and partner-facing staff know which cloud partnerships we have and what each one covers, how co-sell and marketplace mechanics differ across the three providers, when to bring a partner into a deal, and the offering nuances that shape what we can do through each channel. Keeping the field current as those agreements and offerings change is a standing part of the job. You will build the content and the systems behind it, curating what lives in our partner portal and learning platforms, establishing review and refresh governance so nothing goes stale, and creating enablement assets that hold up in front of technical and commercial audiences alike. You will also partner directly with the enablement and partner development teams inside each cloud provider to land Anthropic content inside their channels, which is how this work reaches scale. Finally, you will instrument the program. You will define the metrics that connect enablement activity to partner-sourced pipeline, certification attainment, and deal velocity. You may be a good fit if you have - Deep partner ecosystem knowledge, including a working understanding of how cloud co-sell motions operate in practice, from opportunity registration and marketplace transactions through to joint delivery - Direct experience with one or more of AWS, Google Cloud, or Microsoft Azure, either from inside those organizations or from a partner or ISV working closely alongside them - A proven track record building and maintaining enablement programs that scale, ideally from the ground up, with the certification frameworks, learning paths, and program operations to support them - Experience enabling internal field teams, not just partners, on how to work with and through a partner ecosystem - Strong go-to-market understanding and familiarity with enterprise sales cycles, enough to build content that sellers actually use and to speak credibly with field teams about pipeline and deal progression - Excellent program management skills and the ability to run several concurrent workstreams against a fast launch cadence without losing track of quality - Strong executive presence and the ability to influence stakeholders you do not manage, across both Anthropic and large partner organizations - Exceptional communication skills, including the ability to translate complex technical concepts for mixed commercial and technical audiences - Comfort operating in ambiguity, and a preference for building durable systems over shipping one-off deliverables Strong candidates may also have - A background in enablement or product marketing - Experience launching technical products or platform capabilities through a channel or partner ecosystem - Familiarity with LMS and partner portal platforms, and with certification delivery at scale - Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain 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: $270,000 - $310,000 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.
Sales Enablement Lead
Role Overview Scale’s EMEA GTM team is scaling rapidly across complex, high-stakes government markets. Our commercial motion spans country leads, account executives, strategists, solutions engineering, engagement management, partnerships, delivery, finance, legal, and product - all operating in fast-moving, region-specific environments. We are hiring a Sales Enablement Lead to build the enablement engine for EMEA GTM. This role will report to the Head of Commercial Strategy and Operations and will be responsible for ensuring every seller, strategist, and field partner has the knowledge, materials, onboarding, operating rhythms, and deal support needed to execute with speed and quality. This is a hands-on builder role. You will create the infrastructure that helps the team ramp faster, sell more consistently, reuse what works, and translate a complex AI product and public-sector GTM motion into practical field execution. What You’ll Do Build and own EMEA GTM onboarding - Design and run a structured onboarding programme for new EMEA GTM hires across sales, strategy, solutions, and adjacent commercial roles. - Create role-specific ramp plans, learning paths, certification moments, manager check-ins, and practical field exercises. - Partner with Commercial Operations, People, Recruiting, and GTM and EPD leadership to ensure new hires understand Scale’s products, market context, customers, sales process, operating model, and expectations. Own the EMEA GTM knowledge base - Build and maintain a centralised source of truth for EMEA GTM materials, including pitch decks, account planning templates, customer FAQs, qualification guides, use-case libraries, demos, proposal examples, talk tracks, win/loss learnings, and market-specific collateral. - Keep materials current, easy to find, and clearly organised by market, role, product area, customer segment, and sales stage. - Partner with central Sales Enablement, Product Marketing, Solutions Engineering, Legal, Finance, Delivery, and Product to adapt global content into practical EMEA field-ready assets. - Establish governance so the GTM library remains useful rather than becoming stale or duplicative. Drive ongoing enablement and ever-boarding - Build a recurring enablement cadence for the EMEA GTM team: product updates, deal deconstructions, customer stories, market briefings, process changes, and skills training. - Identify capability gaps across the team and translate them into focused enablement programmes. - Develop practical training on topics such as discovery, qualification, proposal writing, technical scoping, public-sector procurement, stakeholder mapping, commercial structures, forecasting, and handoffs to delivery. - Use live deals and recent wins/losses to make enablement concrete and relevant. Support priority deals and field execution - Partner with the Head of Commercial Operations and Strategy to identify repeatable needs across active deals and turn them into reusable tools, templates, and playbooks. - Help standardise the artefacts needed to move deals forward, including M1/M2 prep, account plans, stakeholder maps, proposal outlines, business cases, customer-facing FAQs, and executive briefings. - Create materials that help sellers communicate Scale’s AI capabilities clearly to both technical and non-technical government stakeholders. - Capture learnings from strategic deals and ensure they are fed back into enablement materials and operating cadences. What We’re Looking For - Experience in sales enablement, GTM operations, revenue operations, sales strategy, programme management, consulting, or a related commercial role. - Strong understanding of B2B or enterprise sales motions; experience in public sector, government, regulated industries, AI, data, SaaS, or technical products is a plus. - Excellent written communication skills, with the ability to turn ambiguous, complex information into crisp, practical field materials. - Strong programme management instincts: you can run multiple workstreams, drive alignment across stakeholders, and keep momentum without needing heavy direction. - High commercial judgement and curiosity: you can understand what sellers need, what customers care about, and where enablement can materially improve execution. - Ability to influence cross-functionally across Sales, Strategy, Solutions Engineering, Product, Marketing, Legal, Finance, Delivery, and People. - Builder mindset: you are comfortable creating structure from scratch, iterating quickly, and improving systems as the business evolves. - Strong attention to quality and detail, balanced with a bias toward speed and practical execution. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Product Finance & Strategy, Monetization
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 We are seeking a Finance & Strategy team member to drive two of the most consequential financial workstreams at Anthropic: Model Monetization and Enterprise & Verticals. On one side, you'll own the economics behind how we price and package — spanning list pricing, tiering, and consumption mechanics across our model families. On the other, you'll serve as the Finance & Strategy partner to our Enterprise and Verticals product teams — shaping the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Together, these determine how the business world accesses frontier AI.. This is a high-ownership, high-autonomy role for someone who genuinely loves to model and is energized by hard, ambiguous questions. You'll connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and bring that same rigor to enterprise and vertical product investments. We're looking for someone opinionated and decisive, you'll be expected to form a view, defend it with rigorous analysis, and drive it to a decision. A deep, current obsession with AI and a perspective on where the field is heading will make you far more effective here. If you are passionate about applying financial rigor to the economics of frontier AI, join us in making AI safe and impactful. Key responsibilities - Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API - Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries - Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets - Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations - Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy - Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy - Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners - Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting - Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics Minimum qualifications - A background in investment banking, private equity, management consulting, or a comparable analytically rigorous role - Advanced proficiency in spreadsheet-based financial modeling, with the ability to build and maintain complex operating models from the ground up — and genuine enjoyment of the craft - Demonstrated ability to take full ownership of a workstream and drive it independently from question to decision - The judgment and conviction to form an opinion and defend it, paired with the openness to update it as the analysis evolves - A genuine, current obsession with AI — you follow the field closely and have a perspective on where it is going - Ability to communicate complex financial information clearly to non-finance audiences - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - Experience across investment banking, private equity, growth equity, venture capital, management consulting, strategic finance, or product finance - Operating experience inside a company, not solely in an advisory or investing seat - Direct experience owning pricing, packaging, or monetization strategy — for example, setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes - Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization - Experience with usage-based, API, or developer platform pricing, or other consumption-based business models - Knowledge of and interest in cloud computing infrastructure and compute economics - Proficiency in SQL 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: $240,000 - $325,000 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.
Head of Deal Desk - International
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 Anthropic's Deal Desk sits at the center of how we turn commercial intent into signed, bookable business. As demand for Claude grows across every region, the deals themselves are getting larger, more structured, and more consequential — and the desk is what keeps them moving quickly without sacrificing pricing discipline, deal quality, or clean handoffs downstream. We already run this well in the Americas. This role builds and leads the equivalent outside it. You'll own Deal Desk for our international business — EMEA and APAC — and lead a team of three. You'll be the commercial partner sales teams come to when a deal doesn't fit the standard shape: multi-year and consumption structures, non-standard pricing and discounting, complex commit and ramp terms, and the approvals that go with them. You'll make those deals faster to close and cleaner to book, and you'll be the point where regional nuance meets a consistent global standard rather than fragmenting away from it. You'll partner closely with the global Deal Desk lead to keep one operating model across regions, while adapting it to the realities of selling in markets with different currencies, tax and entity structures, and buying norms. Internally you'll work shoulder to shoulder with Sales, Revenue Operations, Revenue Accounting, Legal, and Finance — translating between what the field needs to win and what the business needs to book cleanly. When those interests pull in different directions, you're often the person who resolves it. This is a foundational role: you'll establish how Deal Desk operates across our international regions, and you'll hire, develop, and scale the team that runs it. If you want to build the commercial engine for a business growing this fast, in the regions where much of that growth is still ahead of us, this is the seat. Key responsibilities - Own Deal Desk for Anthropic's international business across EMEA and APAC — the operating model, the team, and the outcomes - Lead, hire, and develop a team of three, and scale it as the international business grows - Serve as the commercial partner to international sales teams on complex and non-standard deals, including pricing, discounting, multi-year and consumption structures, commit and ramp terms, and deal structuring - Own the deal approval and review process for the region — clear thresholds, fast turnaround, and the right escalation paths — so that speed and pricing discipline aren't traded off against each other - Partner with the global Deal Desk lead to maintain one consistent operating model across regions, adapting it to regional currency, tax, entity, and buying-norm differences rather than fragmenting from it - Act as the validation point between deal creation and order management, ensuring quotes and signed order forms are structured to book cleanly and provision correctly - Work across Revenue Operations, Revenue Accounting, Legal, and Finance to resolve the trade-offs that non-standard deals create, and to close gaps between what closes a deal and what books correctly - Own the quality of Deal Desk inputs in Salesforce and CPQ for the region, and drive the process and tooling improvements that let the desk scale without adding friction - Establish the metrics that show the desk is working — cycle time, approval turnaround, deal quality, and downstream booking accuracy — and hold the team to them Minimum qualifications - Are excited about Anthropic's mission to develop AI that is safe and beneficial - Work effectively in fast-moving environments with high ambiguity, and are comfortable building process where little exists yet - Have led a Deal Desk, deal management, or revenue operations function, and have structured complex, non-standard commercial deals directly - Have managed people, and can hire, develop, and grow a team - Understand the mechanics of deal structuring — pricing, discounting, multi-year and consumption models, commit and ramp terms — and the approval frameworks that govern them - Have worked across Sales, Legal, Finance, and Revenue Accounting to move deals from quote to signed, bookable order - Are fluent in the tooling of a modern GTM stack, including Salesforce and CPQ - Communicate clearly and credibly with both field sales and internal control functions, and can resolve competing interests between them Preferred qualifications - Extensive experience running Deal Desk or revenue operations across international markets, ideally spanning both EMEA and APAC - Have built or materially scaled a Deal Desk function, rather than only inheriting and running one - Familiarity with the operational realities of selling internationally — multi-currency, multi-entity, and varied tax and invoicing requirements - Experience with quote-to-order and order management processes and the handoffs between them - Exposure to CPQ platforms such as nue.io, and to the systems and data that connect quoting to booking - Have worked at a company that scaled significantly during your tenure, particularly through a period of rapid international growth - Understanding of how enterprises evaluate and buy AI products, and how that shapes commercial structures 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: £285,000 - £285,000 GBP 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.
Tech Lead, ARC Team
Scale AI is seeking a highly skilled and motivated Tech Lead for our ARC (Architecture, Reliability, & Compute) team supporting our dynamic Public Sector Engineering team. As the lead of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. As Team Lead, you will provide mentorship for the rest of the team and manage their performance while also guiding the technical direction of the team. You will: - Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. - Provide mentorship to and manage the performance of the other team members - Own services or systems and define their long-term health goals, while also improving the health of surrounding components. - Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. - Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. - Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. - Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: - At least an active secret clearance. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: - Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus. - Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. - Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements. - Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles. - Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment. - Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering. - Must be able to support work 3 days a week from the DC, SF, NYC, or STL office. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York is: $252,000 - $362,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC is: $227,200 - $326,000 USD Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of St Louis is: $188,800 - $272,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Infrastructure Security Engineer, Public Sector
We are seeking a highly technical Infrastructure Security Engineer to join our Public Sector Infrastructure & Security team. Our Infrastructure Security Engineers ensure the security and integrity of our platform. You will be responsible for securing large cloud environments, orchestrating and securing various compute clusters, and reviewing infrastructure as code. Your expertise in cloud security, infrastructure automation, and advanced security practices will be essential in maintaining and enhancing our security posture. You will: - Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP). - Implement and maintain robust security configurations and policies for cloud environments. - Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement. - Develop and enforce security best practices for infrastructure automation and orchestration. - Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle. - Review and secure infrastructure as code (e.g., Terraform, CloudFormation). - Educate and mentor team members on infrastructure security best practices and emerging threats. Must have: - At least an active Top Secret clearance. This is a requirement and candidates will not be considered who do not hold at least a Top Secret clearance. Ideally, you’d have: - Proven experience as a Security Engineer with a focus on infrastructure security. - Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes. - Strong understanding of modern Javascript application design. - Production experience with Kubernetes backed services - Hands-on experience with SAST and DAST tools and methodologies. - Familiarity with terraform orchestration for infrastructure management. - You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input. - Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders. - Demonstrated ability to influence security strategies and drive improvements within a team. - Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $198,400 - $342,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $178,400 - $307,000 USD The base salary range for this full-time position in the location of St. Louis is: $148,800 - $256,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Enterprise Account Executive
About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 5000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the role/team: We are hiring an experienced Enterprise Account Executive to support our growth into F500 and G2000 customers! Reporting directly into the Head of Global Sales, this person will play a critical role in the growth of Pinecone as we expand the power of knowledge retrieval and AI infrastructure for Agentic use cases across the world’s largest organizations. Responsibilities: - Owning a territory and quota of large Enterprises that you will prospect and break into to secure POCs and committed contractual relationships with. - Managing inbound leads through the BDR, PLG, and MQL channels - Lead all sales related activities through the various stages of the buying journey; in accordance to Pinecone’s defined sales process - Selling and winning against our competitors - Ensuring the customer is deployed successful and positioned for expansion - Partnering cross-functionally with Sales Engineering, Forward Deployed Engineering, Product, Engineering, Finance, and Marketing Successful Pinecone Account Executives have a high degree of technical knowledge, and are comfortable selling into developers and engineering leaders. They are excited about working in a startup environment, comfortable with ambiguity, and ready to build an amazing business that will change the infrastructure landscape. Requirements: - Experience in the infrastructure, data software, and genAI space is preferred - Experience selling to developers and engineering leaders is a must - Candidates should have a minimum 5-7 years experience as an Enterprise Account Executive, and must have direct experience with F500/G2000, closing net new logos - A a consistent track record of performance above quota / top of peer group - Start-up and early stage experience is preferred - Pinecone is a hybrid working environment, but NY and SF-based candidates are preferred Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Early Access Deployment Engineer
About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments, improve how OpenAI learns from customers, and provide strong PoV, based on customer feedback, on what should be built, refined, or scaled. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Engage deeply with strategic customers during the earliest alpha stages to understand their goals, workflows, technical constraints, and highest-value opportunities. - Translate emerging and ambiguous model capabilities into scoped use cases, working prototypes, and clear success criteria. - Prototype rapidly with customers, Product, and Research through experiment-driven iteration. - Design and support evaluations that reveal model behavior, solution quality, workflow impact, and failure modes. - Evaluate and troubleshoot based feedback across product, model behavior to determine patterns and gaps - Own early access program execution end to end, from customer onboarding and live experimentation through synthesis and launch decisions. - Align Research, Product, Engineering, GTM, Legal, Security, Marketing, and launch teams by communicating risks, tradeoffs, and recommendations clearly. - Codify architectures, evaluation methods, technical patterns, and program learnings into reusable playbooks that improve future deployments. You might thrive in this role if you: - Have 4+ years of software engineering or equivalent technical experience, including meaningful customer-facing delivery and ownership of production systems. - Have a track record of rapidly turning ambiguous ideas into working prototypes and carrying the strongest approaches through to reliable solutions. Can demonstrate examples of systems thinking. - Be proficient in Python and/or JavaScript or TypeScript, comfortable across modern front-end and back-end development, and familiar with cloud deployment. - Bring practical AI and LLM depth, including experience reasoning about model behavior, designing evaluations, and building production-oriented AI applications. - Exercise strong product and customer judgment by identifying the highest-value problem, scoping the right experiment, separating signal from noise, and balancing speed with technical integrity. - Own problems end to end, learn unfamiliar technical or domain concepts quickly, and impose useful structure without waiting for perfect information. - Manage several high-stakes technical engagements at once while anticipating blockers, adapting plans, and maintaining momentum across customers and internal teams. - Communicate complex ideas with clarity and empathy, challenge assumptions constructively, and build trust with technical and non-technical stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Documentation and Content Engineer, Clau...
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 You will own the documentation for Claude apps . This role goes far beyond traditional technical writing. The docs estate of Claude Docs spans multiple product surfaces ( Claude.ai , Cowork, Claude Tag, Claude Science, etc.) written by many hands across many teams. You'll own the unification layer: the architecture, the standards, and — centrally — the engineered systems that keep quality high at scale. This is a content + systems ownership role. You'll curate and set the bar for what others write, and you'll build the automation that enforces it: self-healing pipelines, AI-assisted review and maintenance, and the conventions each product team follows to keep their own docs healthy. You'll work alongside the engineers building our docs tooling today. About Anthropic Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Key responsibilities - Own the information architecture, style, and editorial standards of the Claude Docs site as a single unified surface - Design, build, and run automated documentation systems: self-healing pipelines, AI-assisted review and maintenance, and quality guardrails that catch problems before readers do - Establish the conventions and tooling product teams adopt to keep their own documentation accurate and consistent - Establish and maintain the style guide, a standard set of content types, and clear workflows for creating, reviewing, and publishing documentation - Curate contributions from across the company: edit for clarity and consistency, prune what's stale, and shape how new content fits the whole - Define and track measures of content quality and discoverability, and use reader feedback and analytics to drive improvements You may be a good fit if you have - 5+ years at the intersection of documentation, user education, and software engineering - Knowledge of evaluation frameworks or observability for AI-powered systems - Experience guiding a documentation platform migration or redesign - Content analytics and experimentation experience - Modern software development practices: version control, CI/CD, testing - Excellent technical writing and editing — enough craft to set and standardize a high quality bar - Experience establishing editorial standards and information architecture for a substantial technical documentation site Strong candidates may also have - Software engineering experience: you can design, build, ship, and maintain production tooling, with proficiency in Python and/or TypeScript/JavaScript - Experience building automated documentation or content systems — pipelines, CI checks, AI-assisted maintenance - Experience building AI applications or AI-powered tooling with LLMs 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: $270,000 - $320,000 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.
Data Scientist
Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Southeast Asia’s largest AAA game development studio with 450 talented team members representing 30+ nationalities. Opening its doors on the sunny shores of Singapore in 2008, Ubisoft Singapore set off on a vision to be a world class video game studio, and in its subsequent years played an essential role in several gaming blockbusters, including just about every Assassin's Creed® game since Assassin's Creed® II, Immortals Fenyx Rising™, and Ghost Recon Online. Its expertise in AAA and live operations, combined with a passion for naval battle gameplay and water technology, pushed the team to lead the development of a brand-new AAA game franchise – Skull and Bones™ which was launched in February 2024. Job Description We are looking for a Data Scientist who thrives on creating value, not just building models. This role sits within the Asia Intelligence team, a pragmatic, product-minded group focused on shipping data and AI solutions that make an impact today. You will work closely with engineers, analysts, and stakeholders across Ubisoft to design, build, and evolve AI-powered products that are already in production and growing in ambition. Success in this role is defined by your ability to deliver alongside your team. We care about shipped outcomes, not just experimentation. If you are energised by moving quickly, doing your work end-to-end, and seeing real players affected by what you build then this is the role for you. WHAT YOU WILL DO Your core responsibilities - Design, build, and maintain machine learning models and AI products that are deployed in production and create measurable value for players and the business. - Contribute to personalisation and decisioning systems — including recommendation engines, segmentation models, propensity scoring, and Next Best Action frameworks — that directly influence player retention and engagement. - Support the development of AI agent architectures and automation workflows that extend the team’s capacity to deliver intelligence at scale. - Translate complex stakeholder needs into well-scoped, pragmatic solutions, balancing model sophistication with delivery speed and operational sustainability. - Collaborate closely with data analysts, data engineers, and product stakeholders to ensure models are integrated, understood, and acted upon. In six months - You will have developed a strong working knowledge of our data infrastructure, player behaviour data, and live operations context across active titles. - You will have familiarised yourself with our suite of ML models spanning forecasting, propensity modelling, and player decisioning, and made meaningful contributions to at least one. - You will have expanded our AI/ML programme to cover additional player engagement scenarios and franchises, including personalisation and player decisioning capabilities. - You will have built trusted working relationships with key stakeholders, understanding their needs and how data science can serve them. In twelve months - You will be a core contributor to the evolution of our personalisation and player engagement capabilities, including our Next Best Action engine and propensity modelling programme. - You will have helped shape the roadmap for new AI product opportunities, drawing on a clear view of where ML and agent-based approaches can generate near-term value for the business. Qualifications Essential - At least 3 years’ experience in an applied Data Science or ML role, with a track record of shipping models or AI products into production - Demonstrated ability to deliver measurable outcomes through applied ML: your work has made it into the hands of end users, not just into a notebook - Strong collaborative instincts: you understand that impact comes from working well with others, not from working alone - Pragmatic problem-solver who can scope work appropriately, move fast where needed, and know when good enough beats perfect - Comfortable working across disciplines, from game designers and producers to analysts and engineers, with strong communication skills to match Desired - Hands-on experience building personalisation engines, recommendation systems, or player decisioning frameworks - Work experience with marketing decisioning platforms such as Adobe Marketing Cloud, Salesforce, Pega, Braze, or similar - Experience designing or contributing to AI agent architectures and agentic workflows - An interest in games, entertainment, or consumer-facing digital products where player or user behaviour is central to the work TECHNICAL REQUIREMENTS Essential - Strong Python skills, including experience writing production-grade code beyond notebook prototypes - Solid SQL skills for data exploration, feature engineering, and pipeline work - Hands-on experience with ML frameworks such as scikit-learn, LightGBM, PyTorch, or Spark ML - Expert-level proficiency in Databricks and/or Snowflake, with experience deploying and managing models in a cloud data platform environment - Version control proficiency (git) and familiarity with collaborative development workflows Desired - Experience with MLflow, Delta Lake, or similar tools for model tracking and data management in Databricks environments - Familiarity with Snowflake Cortex or Databricks Genie for AI-assisted analytics - Experience building or integrating LLM-based agents or tool-use frameworks - Familiarity with API development and the deployment of model-serving endpoints Additional Information We are working to enrich players’ lives through unique and memorable gaming experiences and by improving the positive impacts of our games. To get there, we are creating a safer, more inclusive work environment, we are giving back to the communities where Ubisoft operates by working with local non-profit partners and by working to reduce the environmental impact of our business. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, ethnicity, religion, gender, sexual orientation, age or disability status. Come on board and experience #LifeAtUbi for yourself, we are always on the lookout for talents who thrive in bringing their A-game to work. If this sounds like you, shoot us your resume, portfolio, and anything else to show that you’re serious about fun!
Senior Technician, Robotics
Scale's Robotics business is rapidly expanding, supporting customers building physical AI. This position will be a key contributor in supporting data collection production in our San Francisco Robotics Lab and prototyping new embodiments. This is a first-of-its-kind role at Scale, and you will have the opportunity to advance Scale's robotics offerings. This is an onsite, hands-on lab role based in San Francisco. You will: Lab Operations: - Play a critical role in supporting the day-to-day operations of the Lab by bringing up and maintaining robots and collection hardware. - Manage physical inventory, maintain equipment, and coordinate logistics. - Provide technical support for data collection operations. Technical Ownership: - Partner with cross-functional stakeholders to bring up new robots and productionize the maintenance of robots and collection hardware. - Build uptime, utilization, and failure mode tracking systems to share with leadership and guide prioritization. - Become a subject matter expert on all capabilities of the robotics platforms deployed in the factory. - Develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts. Cross-Functional Collaboration: - Communicate effectively across internal and external organizations to align on lab priorities and technical roadmaps. Ideally you'd have: - Academic (Bachelor's degree) or industry experience — Engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. - 5+ years of experience in hardware labs or a manufacturing environment. - Hands-on experience in Robotics, AI, and/or Computer Vision. - Experience managing risk and operating robots safely. - Strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership. - High level of comfort communicating effectively across internal and external organizations. Nice to haves: - Experience developing with Python, C++, Java and/or other scripting languages. - Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy. - Experience building and/or maintaining lab networks and data pipelines. - Experience running large-scale data collection and controlled experiments. - Experience in logistics. - Lean Six Sigma certification or experience. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $134,400 - $168,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Security Engineer, Public Sector
We are seeking a highly technical Security Engineer to join our Public Sector Infrastructure & Security team as a security generalist. As a generalist you will ensure the security and integrity of our products and platform designing and shipping high-precision detections across cloud services and enterprise SaaS. You won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. Your ability to write production-quality code is just as important as your ability to triage an alert. You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation. You will: - Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance. - Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity. - Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity. - Perform digital incident investigations to identify and contain potential security breaches. - Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies. - Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows. - Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization. - Utilize threat intelligence platforms to improve hunting, detection, and response workflows. - Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders. Must have: - At least an active Top Secret clearance. This is a requirement and candidates will not be considered who do not hold at least a Top Secret clearance. Ideally, you’d have: - Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes. - 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation. - Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts. - Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments. - Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically. - Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs. - Familiarity with digital forensics tools and malware analysis techniques. - Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate. - Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows. - Strong communication skills, with the ability to translate complex security findings into clear business impact. - Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $218,400 - $342,000 USD The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $196,800 - $307,000 USD The base salary range for this full-time position in the location of St. Louis is: $164,000 - $256,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Applied AI Software Engineer, GTM Growth Engineeri...
About the Team GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. We apply OpenAI models to real business workflows and build the systems that make those applications useful and dependable: customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight. Our work brings together software engineering, applied AI, product, data, and GTM operations. We measure success through the quality of customer engagement, pipeline, conversion, and the effectiveness of our sales and marketing teams. About the Role We're looking for an Applied AI Engineer to build production systems that help AI-powered go-to-market workflows improve over time. You will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs. This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understand production behavior, identify failure modes, improve how the system decides or acts, and validate the resulting impact. You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into safer, more effective agent behavior and measurable improvements in customer engagement, conversion, qualified pipeline, and team productivity. In this role, you will: - Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes. - Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context. - Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows. - Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design. - Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths. - Build backend services, APIs, data models, and feedback pipelines that make agent behavior observable, steerable, and reproducible. - Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results. - Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success. - Ship with appropriate safeguards for privacy, security, reliability, human oversight, and safe operational rollout. You might be a great fit if you have: - 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems. - Experience building AI agents, LLM-powered applications, or other model-driven workflows that operated on real production traffic. - Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or careful systems design. - Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments. - Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services. - Strong product judgment and the ability to connect technical changes to customer experience, conversion, qualified pipeline, or operational efficiency. - Comfort working across model behavior, context, knowledge, tools, workflow state, and human-in-the-loop decisions. - The ability to work closely with technical and non-technical partners across Engineering, Product, Data Science, Sales, and B2B Marketing. - A pragmatic mindset: you can scope ambiguous problems, ship useful improvements, and build toward a durable system. You Might Thrive If - You want to build AI systems that improve from real usage instead of stopping at a successful prototype. - You enjoy tracing messy production failures back to the decision, context, tool interaction, or workflow issue that caused them. - You think evaluation is valuable when it helps teams make better product decisions and improve real outcomes. - You are comfortable moving between applied AI, backend engineering, experimentation, and product judgment. - You like partnering with operators, sales teams, and marketers to understand the work your systems need to improve. - You can move from an ambiguous problem to a focused experiment, measured result, and durable implementation. - You care about trustworthy deployment, clear human-review paths, and reliable production systems. Nice to Have - Experience building agent evaluation, observability, experimentation, or AI infrastructure products. - Experience with production replay, LLM grading, human-labeled datasets, shadow evaluation, or staged rollout. - Experience improving model or agent behavior through context design, prompting, tools, decision logic, or feedback loops. - Experience with sales, B2B marketing, revenue, CRM, campaign, or other GTM-facing systems. - Experience measuring customer engagement, qualified pipeline, conversion, or operational efficiency. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff Software Engineer, Environments Infrastructu...
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 Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification. Key responsibilities - Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally - Own the platform layers that sit beneath every environment, including the agent runtime - Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop - Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off - Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues - Drive adoption of new frameworks across the organization, including deprecations and cutovers - Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications - Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code - Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built - Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retires, idempotency, and consistency - A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct - Experience working productively in large, evolving, or research-style codebases that you didn't originally write - Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications - Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines - Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes - Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable - Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms - Experience with large-scale data processing, dataset lifecycle management, or data lineage systems - Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization - Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead Representative projects These are examples of the challenges the team tackles: - Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL - Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state - Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work - Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly - Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves 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: $405,000 - $605,000 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.
Staff Software Engineer, Code RL
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 Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards. You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage. The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work. Key responsibilities - Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults - Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off - Work directly in research codebases, improving reliability and structure without slowing down the research they support - Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs - Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling - Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them Minimum qualifications - Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code - A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on - Experience working productively in large, evolving, or research-style codebases that you didn't originally write - Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing - Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds - Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome Preferred qualifications - Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows - Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines - Experience building or operating large-scale distributed systems - Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms - Experience with large-scale data processing or dataset lifecycle management - Experience designing plugin systems or extensible class hierarchies used across an organization - Experience embedding with or consulting for other teams, including successfully handing off systems for others to own - Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams - Prior experience as a technical lead, or setting engineering standards for a team - Prior experience maintaining an open source project Representative projects These are examples of the challenges the team tackles; no one person will work on all of them: - Design a base RL environment abstraction general enough to be subclassed across a wide range of environments - Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics - Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks - Design probes that catch sandbox regressions early - Design the lifecycle and maintenance scheme for a production dataset - Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them - Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs - Build the access layer that lets researchers discover and reuse data artifacts across teams 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: $405,000 - $625,000 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.
Associate General Counsel, Commercial
Scale is powering the generative AI wave — from the world-class data fueling frontier AI models and autonomous systems to the enterprise AI applications turning breakthroughs into business outcomes. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Scale’s Legal team works on exciting legal and commercial issues at the leading edge of artificial intelligence, autonomous systems, and machine learning technology. This role will support our Physical AI team, which is focused on the next frontier: building general AI that can reason and act in the physical world. You will act as a close business partner to its leadership, negotiate complex agreements and help shape the deal structures and go-to-market approaches that drive this business unit’s continued growth. You will join a creative and solutions-oriented team that collaborates internally with teams at Scale and externally with our customers. We are looking for a relentlessly curious, deliberately open-minded, pragmatic, and action-oriented commercial attorney who can negotiate complex agreements and effectively advise on legal risk — all while being a great teammate. This is an individual contributor role with significant scope and visibility that will run deals from end-to-end, collaborate with high level internal clients, and help shape Scale's commercial legal function as it scales with the business. If you enjoy solving novel and challenging problems and building strong teams and relationships while doing it, we'd love to hear from you! You will: - Draft, review, and negotiate master services agreements, statements of work and order forms with autonomous driving and robotics companies, working closely with our Sales organization to close revenue deals. - Work directly with leadership to shape the business and legal strategy for this business unit. - Draft, review, and negotiate a wide range of other agreements, including partnership, reseller and vendor agreements as well as DPAs. - Assess legal risk and give the business clear, practical guidance to help the business make informed decisions. - Provide hands-on legal support to sales, product, and other cross-functional teams. - Design, implement, and iterate on policies and processes to manage legal and business risk on a global scale. Ideally you'd have: - JD and a member of the California Bar in good standing. - At least 9+ years of combined law firm and in-house experience with training in commercial agreements, data licensing, and intellectual property. - Passion for partnering with Sales and closing revenue deals. - Experience with drafting and negotiating complex data licensing, services or technology agreements. - An ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers. - Roll-up-your-sleeves attitude to tackle projects large and small and a collaborative, low-ego approach to working across the organization. - Deep interest in artificial intelligence, autonomous vehicles, robotics, and the broader AI landscape. Nice to haves: - Experience with legal issues in autonomous vehicles or robotics. - Product or privacy counseling experience. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $264,800 - $331,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Member of Technical Staff (AI Software Engineer, A...
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer https://www.perplexity.ai/computer (our platform for generalized frontier intelligence), the Comet ecosystem https://www.perplexity.ai/comet, our Agent API, and more. Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users. - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.
Research Scientist, Takeoff Intel
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 We're looking for a Research Scientist who has done hands-on research on large models (pretraining, fine-tuning, RL, evals, or agents scaffolds) and wants to focus on measuring and understanding recursive-self-improvement. You know what the model-development loop looks like from the inside: which signals matter and where the real bottlenecks are. On this team you'll use that judgment to decide what's worth measuring, design the evaluations and models that measure it, and interpret what the results mean for how fast this is moving. We're hiring at both junior and senior levels. Senior researchers should be comfortable doing hands-on technical work alongside setting research direction. Responsibilities - Identify the signals that track AI R&D acceleration and design the evaluations that measure them - Build quantitative models of capability growth and self-improvement dynamics, grounded in evaluation and telemetry data - Run experiments and evals to test hypotheses about automation and capability - Make opinionated research bets and own the outcome - Write graded assessments of what our measurements show, for internal decision-makers and public reporting - Collaborate with pretraining, RL, economic research, and policy teams You may be a good fit if you - Have done hands-on research on large language models: pretraining, fine-tuning, RL, evals, or agent systems - Have strong quantitative instincts, are comfortable with quantitative modeling and reasoning - Have experience in forecasting, may have published AI forecasting scenarios - Can design an evaluation from a vague question and defend the methodology - Write clearly and calibrate: state confidence, name what would change your conclusion - Are motivated by impact: comfortable with work whose output is graded assessments and system-card sections more often than papers - Care about AI safety and think carefully about where rapid capability growth leads Strong candidates may also have - Trained or RL'd frontier models hands-on - Experience with scaling laws, capability forecasting, or emergent-capability studies - A physics, applied-math, or similarly quantitative background that moved into ML - Written a system card section, capability report, or methodology document that others cite - Experience supervising and correcting AI-written code Some examples of our work - Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration - AI R&D capability assessments in the Claude system cards - When AI Builds Itself : all data in the article comes from our team 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: $350,000 - $850,000 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.
Product Manager II, AI & Data Security
As organizations rapidly adopt AI applications and agentic systems, security teams need visibility and control over how these technologies are being used. Datadog's AI & Data Security product helps customers discover, secure, and govern AI usage across their environments ensuring sensitive data is properly managed from model training through production. As a Product Manager II for AI & Data Security, you will own capabilities for AI discovery, posture management, and data security; giving customers complete visibility into their AI applications, agents, and enabling ecosystem, with prioritized actions to operate AI systems securely. You'll partner with engineering, design, security research, and GTM teams to define and ship platform capabilities that help organizations adopt AI at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Own the roadmap for AI & Data Security capabilities, including AI and data discovery & posture management. - Define how security teams can assess and manage the security posture of AI-enabled systems, including configuration risks, sensitive data exposure, and policy violations. - Work closely with engineers and designers to deliver new product capabilities end-to-end, from early concept through launch and iteration. - Partner with Datadog security researchers to identify emerging risks in AI systems and translate them into actionable product features. - Engage with customers to understand how they are adopting AI and validate solutions that help them operate these systems securely. - Collaborate with go-to-market teams to enable adoption and communicate the value of AI security capabilities to customers. Who You Are: - You have 3+ years of product management experience building technical products, ideally in security, AI, data, cloud infrastructure, or developer platforms. - You have a strong understanding of generative AI, modern cloud environments and application architectures. - You are interested in the security challenges introduced by AI and machine learning systems. - <p data-renderer-s
Senior AI Data Developer
Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown! Job Description The person in this role works closely with the Business Solutions Architect, application teams, and business stakeholders to deliver data and artificial intelligence solutions that make processes and systems smarter. They develop and maintain data pipelines that meet the requirements of predictive models and design AI agents, including those built with Microsoft Copilot Studio, capable of leveraging data securely and efficiently. The incumbent is also accountable for the accessibility, integrity, and quality of the required datasets. What You'll Do - Lead the design, implementation, and maintenance of data transportation processes required by Data Scientists. - Perform data transformation operations to support predictive models. - Design and maintain data architectures that ensure reliable pipelines for both structured and unstructured data. - Design scalable data models required for the development of predictive models. - Ensure seamless integration between data pipelines and data models. - Integrate predictive models and AI solutions into applications, systems, and business operations. - Design, develop, deploy, and maintain artificial intelligence agents using Microsoft Copilot Studio. - Integrate AI agents with data pipelines, APIs, and existing systems. - Collaborate with business teams to define use cases, conversational flows, and operating rules for AI agents. - Monitor and ensure data quality (reliability, consistency, and integrity) as well as data flow performance. - Track the performance of data pipelines, AI agents, and infrastructure, and recommend necessary improvements. - Utilize distributed computing technologies for model training and deployment. - Contribute to a variety of projects involving the implementation of innovative systems, solutions, and processes. - Perform other related duties as required. Qualifications Education - University degree in Computer Science, Engineering, or a related field. Relevant Experience - Minimum of 5 years of industry experience in development, coding, scripting, and data-oriented design. - Minimum of 5 years of experience in developing and administering large-scale data environments. - Minimum of 3 years of experience in data modeling and SQL/NoSQL database administration. - Hands-on experience developing or integrating AI solutions or intelligent agents is considered a strong asset. Skills - Ability to design processes based on data flow concepts and architectures. - Ability to perform data extraction, transformation, and loading (ETL/ELT). - Ability to configure, use, and develop data management systems. - Ability to develop large-scale, structured software using software engineering best practices. - Ability to use various tools and programming languages (e.g., Python, SQL, Bash) to integrate systems. - Ability to design and maintain AI agents and conversational workflows. - Creative thinking and strong problem-solving skills. - Team-oriented mindset with excellent interpersonal and communication skills. - Strong focus on delivering strategic business value. - Good understanding of Machine Learning and Generative AI. - Ability to work independently and solve complex problems. - Knowledge of Agile methodologies. Knowledge & Technical Expertise - Experience with Flume, NiFi, Kafka, or other data pipeline technologies. - Experience with REST APIs. - Experience with Microsoft Copilot Studio, Power Platform, or similar AI agent platforms. - Experience with C# and .NET. - Experience working in Linux and Windows environments. - Strong understanding of computer science fundamentals, including algorithms and data structures. - Knowledge of data-centric architectures and data flow principles. - Experience with data quality, integrity, cleansing, and transportation processes.
AI Solutions Engineer
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. About the Team: People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function. The team runs like a product engineering group embedded in HR. We own the full stack: data ingestion, transformation, dashboards, AI tools, and production applications deployed on Snowflake. About the Role: This is a hands-on engineering role. You will build, deploy, and maintain AI-powered systems that serve the People function and the broader employee base. The work is taking messy business problems (fragmented knowledge, manual processes, disconnected tools) and turning them into working software: agents, APIs, applications, and infrastructure. You will work closely with partners across the People function who own domain expertise and stakeholder relationships. Your job is to turn their rough applications and processes into production systems, and to push back when a technical constraint changes what's possible. This is not a pure backend role. You will be in the room when business problems are being scoped, and you need to understand the problem well enough to make architecture decisions on your own. You also need to take what you build and get it running in production. Hosting, security, deployment, and ongoing maintenance are all part of the job. What You'll Do: - Build and ship AI agents, APIs, and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture, containerization, networking, secrets, CI/CD, monitoring, and fixing what breaks. - Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday, Notion, and case management tools so AI surfaces real answers from governed content, not model guesses. - Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs, data classification, and access policies already exist, but connecting them across systems (Workday, Snowflake, case tools) is where it gets messy. You figure out what's allowed, build within those constraints, and make sure employee data stays where it's supposed to. - Design reliability infrastructure for multi-model LLM services. Structured output validation, fallback chains, circuit breakers for external APIs, and quality controls that catch hallucination before users see it. - Work directly with non-technical stakeholders to scope problems, make architecture decisions, and give honest assessments of what AI can and can't do. You translate in both directions. - Contribute to the team's shared Python codebase, dbt models, and Snowflake infrastructure as part of a small, full-stack team that ships fast. - Own what you build. When something breaks in production, you diagnose and fix it. What We're Looking For: - Software engineering foundation. You have built, deployed, and maintained production applications. You understand version control (Git/GitHub), CI/CD pipelines, containerization, and what it takes to keep software running, not just written. - Systems thinking and technical architecture. You und
FinOps Program Manager, AI Enablement
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The FinOps organization at Stripe is responsible for the financial operations that sustain our business at scale. It comprises five specialized service teams: - Accounts Payable (AP)—managing supplier invoices, vendor payments, and procurement workflows - Accounts Receivable (AR)—overseeing customer billing, collections, and revenue operations - Travel and Expense (T&E)—managing employee expense processes and ensuring policy compliance - Payroll—guaranteeing accurate and timely compensation for Stripe employees - Monetization Operations (MonOps)—handling unique billing arrangements with our largest clients Supporting all five of these teams is FinOps Strategic Enablement—a dedicated function aimed at driving efficiency, scalability, and strategic value across the entire FinOps organization. This team provides expertise in process design, data management, and increasingly, artificial intelligence. As AI capabilities advance, FinOps Strategic Enablement is strategically investing in resources to ensure our service teams can fully harness these tools. This role is pivotal to achieving that objective. What you'll do We're seeking a FinOps Program Manager to act as a strategic catalyst for positive change. This high-impact position focuses on identifying, defining, and managing large-scale AI and process improvement initiatives through to successful completion. You'll serve as the primary partner for our sub-teams, facilitating their transition from manual bottlenecks to AI-driven solutions. Positioned at the intersection of Operational Excellence (OE), Finance Systems (FinSys), and AI technology, your objective is to transcend simple "handoffs" by thoroughly understanding technical requirements and driving solutions to fruition. Responsibilities - AI Strategy and Scoping Collaborate with FinOps sub-teams to identify high-impact opportunities for AI and automation. Transform operational challenges into clear, actionable project roadmaps. - End-to-End Project Management Lead strategic projects from initial discovery through technical implementation and post-launch optimization. - Cross-Functional Collaboration Partner closely with OE leads and FinSys teams to design and develop scalable solutions. You'll ensure that the operational vision is accurately translated into system architecture. - Continuous Improvement Foster a mindset focused on improvement to simplify and standardize processes before integrating AI capabilities. - Solution Realization Take ownership of the final stages of implementation. Collaborate with technical teams to ensure the solution effectively addresses the business problem and delivers measurable ROI. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, yo
Data Scientist — Tencent Games Global
团队介绍 Level Infinite 是腾讯旗下国际游戏业务品牌，致力为全球玩家带来充满乐趣、原汁原味的游戏体验，让玩家随时随地进入游戏世界；并通过打造包容、互通、便捷的玩家社区，促进分享交流。 Level Infinite为合作工作室提供一系列支持及服务，助力其释放产品潜能。 Level Infinite发行产品包括《PUBG MOBILE》、《Goddess of Victory: NIKKE 》《Honor of King》等热门游戏，并与合作工作室联手推出了来自Fatshark的《战锤40K：暗潮》、Funcom的《沙丘：觉醒》、Inflexion Studios的《夜莺》在内多款产品。 想进一步了解Level Infinite，请访问www.levelinfinite.com，并在Twitter、Facebook、Instagram和Youtube上关注我们的官方账号。 岗位职责 - 与休闲游戏团队合作，为用户增长和游戏设计提供提供科学解释与优化建议。 - 设计并搭建增长分析框架与实验链路，并推动分析和实验的标准化、自动化与可视化。 - 与数据工程和产品经理合作，推动实验系统在多游戏项目间的统一接入与实验数据治理。 岗位要求 学历背景：本科及以上学历，统计学、数据科学、计算机科学、经济学或相关专业。 工作经验： - 数据科学、增长分析或游戏实验分析从业经验； - 有休闲游戏实验&数据分析经验者优先； - 熟悉实验框架搭建与A/B测试流程，有实验平台设计或方法论建设经验者尤佳。 技能要求： - 熟练掌握 Python / SQL，理解实验设计与因果推断的统计原理； - 熟悉主流增长分析与实验体系，理解业务逻辑； - 具备优秀的逻辑思维、结构化表达与跨团队沟通能力。 腾讯致力于提供平等就业机会 在腾讯，我们始终秉承平等就业机会的原则，致力于为每一位员工打造公平、包容的工作环境。我们坚信，多元的声音能够激发出无限的创新活力，推动我们为用户和社会提供更优质的服务。我们用心营造一个充满支持与激励的氛围，帮助每一位员工找到属于自己的舞台，以实现个人及共同的发展目标。
ゲームAIリサーチインターン｜Game AI Research Intern
部署紹介/Business Unit LIGHTSPEED STUDIOS は、物語性の高いストーリー、没入感のあるゲームプレイ、最先端のテクノロジーを駆使し、ゲーム開発をアートとサイエンスの融合として追求し続けています。世界中のプレイヤー、そしてあらゆるデバイスに次世代のゲームエクスペリエンスを提供することを使命としています。 LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. チーム紹介/About the Hiring Team Lightspeed Tech Center は、PUBG モバイルを始めとする様々な高品質ゲームを手掛けた Lightspeed Studios の研究開発部門です。Tech Center は技術研究とイノベーションを牽引し、ゲーム作品にそのライフサイクルを通して、エンジン、音響、QA、AI、次世代技術、技術提携などのテクニカルサポートを提供しています。 Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. 仕事内容/What the Role Entails 仕事内容: 1. ゲーム分野におけ る 強化学習（RL）アルゴリズムの 実装 ・開発を行う。 2. 研究 環境 や 実務 環境 における タスクに対して、RLモデルの 訓練 を行う。 3. 研究目標の達成に向けて、チームメンバーと積極的に協力する。 Job Responsibilities: 1. Explore and develop novel reinforcement learning (RL) algorithms to address challenges in game contexts. 2. Train RL models on innovative and practical tasks. 3. Collaborate proactively with team members to achieve research goals. 応募資格/Who We Look For 応募条件: 1. PythonおよびPyTorchなどの主要フレームワークを用いたRLアルゴリズムの実装経験。 2. 強化学習モデルのチューニングや最適化 する 経験 。 3. 英語に堪能であること（必須）。 4. 歓迎：協調型マルチエージェント強化学習、アドホックチームワーク、または人間とAIの 協力 に関する 専門 知識または経験。 5. 歓迎：NeurIPS、ICML、ICLRなどトップカンファレンスでの論文発表経験。 6. 歓迎：中国語または日本語のバイリンガル能力。 Requirements: 1. Hands-on experience implementing RL algorithms in Python, using popular frameworks such as PyTorch. 2. Must be able to tune and optimize reinforcement learning models. 3. Must be proficient in English. 4. Preferred: Familiarity with cooperative multi-agent reinforcement learning, ad-hoc teamwork, or human-AI cooperation technologies. 5. Preferred: Experience publishing papers in top conferences (e.g., NeurIPS, ICML, ICLR). 6. Preferred: Bilingual proficiency in Chinese or Japanese. 一緒に働く魅力/Why Join Us? 賃金 年収額：応相談（昇給/賞与あり） ※経験・スキル等を考慮し、当社規定により優遇します。 ※一般社員の場合、固定残業代月35時間分が含まれます。 管理職の場合、固定残業代10時間分が含まれます。 労働時間・休日 就業時間 09:30 ~ 18:30 休憩時間 60分 フレックスタイムあり 完全週休２日制（土日・祝日） 有給休暇：入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日 年末年始休暇（12/30～1/3） 病気休暇（有給）：12日/年（有給休暇とは別途付与） 福利厚生 ＜各種保険＞ 健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険（GTL） 業務災害安心総合保険（GPA）、団体長期障害所得補償保険（GLTD） 海外旅行保険 ＜各種手当＞ 通勤手当(上限5万円/月) 、通信手当（上限1万円/月）、 自己啓発手当（上限2万円/月）、 平日に出社した場合食事補助1800円/日、 定期健診手当（上限7万5千円/年1回） ＜支援制度・その他待遇＞ フリードリンクコーナー 、ギフトカード（お盆、正月の2回支給、2万円/1回） 従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇 この求人広告に記載されているポリシー（給与、福利厚生、労働条件などを含むがこれに限らない）は、会社のリアルタイムポリシーに応じて調整される可能性があります。 平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。 社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。 As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Data Scientist - Algorithm（模型算法方向）
团队介绍 Level Infinite 是腾讯旗下国际游戏业务品牌，致力为全球玩家带来充满乐趣、原汁原味的游戏体验，让玩家随时随地进入游戏世界；并通过打造包容、互通、便捷的玩家社区，促进分享交流。 Level Infinite为合作工作室提供一系列支持及服务，助力其释放产品潜能。 Level Infinite发行产品包括《PUBG MOBILE》、《Goddess of Victory: NIKKE 》《Honor of King》等热门游戏，并与合作工作室联手推出了来自Fatshark的《战锤40K：暗潮》、Funcom的《沙丘：觉醒》、Inflexion Studios的《夜莺》在内多款产品。 想进一步了解Level Infinite，请访问www.levelinfinite.com，并在Twitter、Facebook、Instagram和Youtube上关注我们的官方账号。 岗位职责 - 负责游戏场景下的用户分层、商品推荐、生命周期预测、流失预警与价值评估等建模任务。 - 研发并优化匹配机制、平衡性算法及动态定价策略，提升游戏体验与变现效率。 - 构建可复用的算法框架与服务部署，支持多游戏项目的规模化应用。 - 探索LLM，机器学习，因果推断等在游戏实验与智能运营中的前沿应用。 岗位要求 学历背景： 本科及以上学历，计算机科学、统计学、人工智能或相关专业。硕士优先。 工作经验： - 3年以上数据科学、机器学习算法相关经验，有休闲游戏行业背景者优先； - 具备用户画像、运筹优化或经济建模等项目实践经验者优先； - 熟悉大数据处理和分布式计算经验者优先。 技能要求： - 精通 Python（Scikit-learn、PyTorch/TensorFlow等）及常用数据科学工具栈； - 扎实的机器学习与统计建模基础，熟悉因果推断、强化学习、运筹优化等方向； - 具备较强的算法工程能力，熟悉 分布式计算（Spark）与部署流程； - 具备优秀的问题抽象、模型优化与跨团队协作能力。 腾讯致力于提供平等就业机会 在腾讯，我们始终秉承平等就业机会的原则，致力于为每一位员工打造公平、包容的工作环境。我们坚信，多元的声音能够激发出无限的创新活力，推动我们为用户和社会提供更优质的服务。我们用心营造一个充满支持与激励的氛围，帮助每一位员工找到属于自己的舞台，以实现个人及共同的发展目标。
AI Research Engineer - Datadog AI Research (DAIR)
As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , and our time series foundation model ), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security. We are focused on two research areas: - World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. - Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost. What You'll Do: - Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling - Implement models, run experiments at scale, and profile for reliability, performance, and cost - Build simulation environments and replay infrastructure for agent training and evaluation - Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery - Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity - Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services - Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are: - You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus - You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure - You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration - You have practical experience with large-scale model training and fine-tuning, including
Generative AI Researcher (3D, Video, and Agentic I...
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails ● Develop cutting-edge AI systems for 3D object and scene generation, video generation (world modeling), human motion capture and generation, multimodal vision-language models (VLM), and agentic reinforcement learning systems , tailored for next-generation game development. ● Conduct original research in computer vision, computer graphics, and embodied intelligence , driving innovation in generative AI pipelines for virtual world creation. ● Collaborate with cross-disciplinary teams — including game developers, artists, and designers — to integrate AI-generated content seamlessly into gameplay experiences. ● Continuously explore and apply the latest research trends in 3D generation, video understanding, multimodal reasoning, and simulation-based RL to enhance production efficiency and creativity in games. Who We Look For ● PhD degree in Computer Vision, Computer Graphics, Machine Learning, Robotics, or a related field . ● Strong research background in at least one of the following areas: – 3D Object or Scene Generation – Video Generation / World Modeling – Human Motion Capture or Generation – Vision-Language Models (VLM) – Reinforcement Learning / Agentic AI ● Publications in top-tier conferences or journals (CVPR, ICCV, ECCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICML, ICLR, PAMI, IJCV, TOG, TVCG, etc.). ● Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and experience in large-scale model training or evaluation. ● Excellent teamwork and communication skills, with demonstrated ability to collaborate in a fast-paced, research-driven environment. Preferred Qualifications: ● Hands-on experience with 3D modeling or rendering tools (Blender, Unreal Engine, Unity, etc.) . ● Strong coding and prototyping ability in Python, C++, or similar languages . ● Familiarity with datasets and benchmarks related to 3D, motion, or video generation. ● Proven ability to translate research results into real-world interactive applications. ● Creativity and a passion for developing the next generation of AI-driven content creation tools Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
NLP Research Intern
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails LightSpeed Studios is one of the world’s most innovative and successful game developers. With team across China, United States, Singapore, Canada, United Kingdom, France, Japan, South Korea, New Zealand, and United Arab Emirates. We are expanding to more countries. Founded in 2008, LightSpeed Studios has created over 50 games across multiple platforms and genres for over 4 billion registered users. It is the co-developer of worldwide hits PUBG MOBILE, Apex Legends Mobile, and League of Legends: Wild Rift (Chinese Version). 1. Drive and contribute to cutting-edge research projects in NLP/ML. 2. Develop benchmarks and baselines using publicly available datasets. 3. Train large language models (LLMs) on innovative, practical tasks. 4. Publish research findings at leading NLP/ML/AI conferences and in top journals. Who We Look For 1. Currently in the PhD degree in NLP, Machine Learning, or a related area, or recently submitted the thesis; available at least three days per week (with the supervisor and university approval). Candidates who have completed a Master's degree and have received a PhD offer in a relevant field will also be considered. 2. At least one publication in a top-tier NLP/ML conference or journal (e.g., ACL, NAACL, EMNLP, EACL, NeurIPS, ICLR, ICML). 3. Hands-on experience with Python and deep learning libraries, especially PyTorch, Hugging Face, and Transformers. 4. Experience in one or more of the following areas: supervised fine-tuning of LLMs, LLM self-learning, LLM efficiency, LLM-based AI agents, or LLM applications in gaming, reasoning, or mathematical tasks. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Game ML Researcher Intern
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails We are hiring internships for the data & AI group. Join our team to build AI bots in games using reinforcement learning and latest genAI technologies. Support the production of scalable and optimised AIService for AI bots. Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process. There is also opportunities of research new approaches to improve the performance. Who We Look For - Currently enrolled in a Master's or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, etc. - Expertise in one or more of the following areas with practical experience: deep learning, reinforcement learning, LLM. - Experience in video game, reinforcement learning, and development with GenAI is preferred; - Proficient in Python or other related programming languages. - Proficient in C++ is preferred. - Have a good team spirit and strong communication skills. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Hunyuan Multimodal Reinforcement Learning (RL) Res...
Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails 1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks. 2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. 3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback. Who We Look For 1. Currently enrolled as a PhD student in Computer Science or a closely related field. 2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH. 3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference. 4. Prior experience with diffusion models, autoregressive models, and/or text-to-image or text-to-video generation is highly preferred. 5. Participation in ACM/NOIP is a strong plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AIプログラマー｜AI Programmer
チーム紹介/About the Hiring Team ライトスピード・ジャパンは、世界中のオーディエンス向けにオリジナルのAAA級アクションゲームタイトルの制作に特化しているゲーム開発スタジオです。著名なゲームディレクターとして知られる伊津野英昭（いつの ひであき）が率いる当スタジオは、東京と大阪の2つの拠点で活動しています。 柔軟で包括的な職場環境を提供し、ゲーム制作の限界を押し広げる才能と情熱にあふれるゲームクリエイターの参加を非常に歓迎しています。 LightSpeed Japan Studio is a game development studio dedicated to crafting original AAA action game titles for global audiences. Led by industry veteran Hideaki Itsuno, the studio operates across two locations in Tokyo and Osaka. The studio offers a flexible and inclusive work environment and actively welcomes game creators who are full of talent and passion for pushing the boundaries of game development. 仕事内容/What the Role Entails 仕事内容 1. プレイヤーキャラの 行動AIの設計・実装（戦闘AI・探索AI等） 2. Behavior Tree、Utility AI、State Machine などを用いた AIアーキテクチャ構築 3. Navigation Mesh、Pathfindingの実装・改善 4. 囲み・包囲・回避行動など 高度な戦術行動のロジック設計 5. レベルデザイナー、ゲームデザイナーとの連携によるAI仕様の検討 6. AI挙動のデバッグ、挙動調整、パフォーマンス最適化 7. UE5を利用した AI関連システムの拡張およびツール改善 8. 学習系AI（ML、強化学習など）の導入経験がある場合は、 9. NPC行動最適化やテスト自動化への応用も担当可能 応募資格/Who We Look For 応募条件 1. C++ を用いたゲーム開発実務経験 2. コンシューマーゲーム、もしくは中～大規模タイトルでのAI開発経験 3. Behavior Tree、State Machine等を用いた AIロジックの実装経験 4. Navigation、Pathfinding、Movement 制御の基礎理解 5. ゲームデザインの意図を汲み取りAI仕様に落とし込むコミュニケーション力 6. デバッグ能力、およびAI挙動改善のための分析力 7. 人型AI/仲間AI経験がある 8. Behavior Tree、Utility AI、State Machine、GOAP (Goal-Oriented Action Planning):などを用いた AIアーキテクチャ構築（意思決定）経験 9. Navigation Mesh、Pathfinding、steering行動、フォーメーション移動の実装・改善経験 10. 集団制御・メタAI：個々のAIではなく、ゲーム全体（敵・仲間AI・NPC）の管理経験 11. 会話システム：リアルタイムのキャラクター同士の雑談会話、戦闘会話などの開発経験 一緒に働く魅力/Why Join Us? 勤務地 大阪（JR大阪駅JP TOWER OSAKA）、東京（虎ノ門ヒルズビジネスタワー）※希望に添います 賃金 年収額：応相談（昇給/賞与あり） ※経験・スキル等を考慮し、当社規定により優遇します。 ※一般社員の場合、固定残業代月35時間分が含まれます。 管理職の場合、固定残業代10時間分が含まれます。 労働時間・休日 就業時間 09:30 ~ 18:30 休憩時間 60分 フレックスタイムあり 完全週休２日制（土日・祝日） 有給休暇：入社初年度は、入社月により期間按分付与。在籍年数踏まえて最大22日 年末年始休暇（12/30～1/3） 病気休暇（有給）：12日/年（有給休暇とは別途付与） 福利厚生 ＜各種保険＞ 健康保険 、雇用保険、 労災保険、 厚生年金保険、 総合福祉団体定期保険（GTL） 業務災害安心総合保険（GPA）、団体長期障害所得補償保険（GLTD） 海外旅行保険 ＜各種手当＞ 通勤手当(上限5万円/月) 、通信手当（上限1万円/月）、 自己啓発手当（上限2万円/月）、 平日に出社した場合食事補助1800円/日、定期健診手当（上限7万5千円/年1回） ＜支援制度・その他待遇＞ フリードリンクコーナー 、ギフトカード（お盆、正月の2回支給、2万円/1回） 従業員支援プログラム(EAP) 、慶弔見舞金 、永年勤続賞/休暇 この求人広告に記載されているポリシー（給与、福利厚生、労働条件などを含むがこれに限らない）は、会社のリアルタイムポリシーに応じて調整される可能性があります。 平等な雇用機会を重視するテンセント/Equal Employment Opportunity at Tencent テンセントは、雇用機会の均等を最重要視しています。私たちは、多様性がイノベーションを促進し、ユーザーやコミュニティに対してより良いサービスを提供する原動力になると確信しています。 社員一人ひとりが十分なサポートを受け、自身の目標と会社の目標を共に達成できるよう、モチベーションを高められる環境づくりを大切にしています。 As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Application Intern (Game Platform Team)
Business Unit About IEG Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users. What the Role Entails We are the Game Platform (Middle Platform) Team at Tencent Games, focusing on applying AI technologies to game development and operations. This role is application-oriented, where you will work on bringing Large Language Models (LLMs) and AIGC capabilities into real-world gaming scenarios. - Participate in the design and implementation of AI applications in gaming scenarios (e.g., content generation, intelligent NPCs, operational tools) - Develop and optimize applications based on LLMs, including prompt engineering and workflow design - Build prototypes and internal tools to improve production and operational efficiency - Collaborate with cross-functional teams to drive AI solutions from concept to deployment - Stay up to date with the latest AI trends and explore innovative use cases in games Who We Look For - Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI, or related fields - Proficient in at least one programming language (Python / Java / C++) - Basic understanding of machine learning or LLMs; hands-on experience is a plus - Strong engineering skills with the ability to build functional prototypes or tools - Strong interest in AI applications and productization - Passion for gaming industry; gaming experience is preferred - Good communication and teamwork skills Preferred Qualifications - Experience with LLM applications (Prompt Engineering, RAG, Agents, etc.) - Experience with AIGC (text, image, or audio generation) - Experience in building AI tools or automation systems - Familiarity with web development or full-stack development - Previous game-related project experience Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Agent Research & Application Intern
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails This role focuses on advancing AI Agent architecture, reasoning, and autonomy through applied research and experimentation. Interns will work on cutting-edge projects involving foundation models, planning algorithms, and multi-agent systems, contributing to both theoretical innovation and practical applications. Key Responsibilities • Conduct research on AI foundation models to enhance reasoning and data-driven analytical capabilities. • Design and develop advanced planning and decision-making algorithms that enable Agents to autonomously perform complex tasks and improve operational efficiency. • Investigate tool-use mechanisms to allow Agents to effectively integrate and utilize diverse data analysis and system tools for greater adaptability in real-world environments. • Explore and implement end-to-end reinforcement learning frameworks and multi-agent collaboration algorithms to improve coordination and optimization across intelligent systems. Who We Look For Qualifications • Master’s or PhD student in Computer Science, Mathematics, Statistics, Artificial Intelligence, or a related field. • Strong foundation in mathematics (linear algebra, probability, statistics) and excellent problem-solving skills. • Solid understanding of machine learning and deep learning algorithms (e.g., neural networks, decision trees, SVMs, reinforcement learning), with hands-on implementation experience. • Proficiency in Python and familiarity with mainstream ML/DL frameworks such as TensorFlow and PyTorch, with the ability to independently develop and train models. Preferred Qualities: • Deep curiosity and passion for autonomous systems, reasoning, and multi-agent collaboration. • Ability to bridge theoretical research and practical application. • Experience with reinforcement learning, tool-augmented LLMs, or agentic workflows is a strong plus. • Proficiency in both English and Mandarin will be a plus. • Minimum 6-month full-time internship preferred. LI-RL1 Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Machine Learning Engineer, CX Intelligence
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. What you'll do: - Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. - Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. - Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. - Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. - Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. - Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture. Required Skills and Experience: - 3+ years building and scaling ML/AI systems in production, with demonstrated experience implementing agentic "Loop" or "ReAct" based systems where AI takes actions autonomously. - Deep understanding of the LLM lifecycle including context window management, token optimization, structured output parsing (Pydantic, JSON mode), and multi-agent orchestration frameworks (LangGraph, Google ADK, or similar). - Strong proficiency in Python with hands-on experience in microservices architecture, asynchronous programming, high-throughput APIs, and vector databases (Pinecone, Weaviate, or equivalent). - Demonstrated ability to explain model behaviors and technical trade-offs to non-technical stakeholders across CX, Legal, and Product teams. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job ID: P77545 Pay Transparency Notice: The target annual base salary
AI Product Engineer Intern — Game Development
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails We're looking for someone who plays games and builds with AI — not as separate hobbies, but as one obsession. You'll use Tencent's AI infrastructure alongside frontier models (Claude, Gemini, and Tencent's in-house tools) to explore what AI-native game development actually looks like — through hands-on prototyping, not slide decks. ⦁Prototype AI use cases across the full game dev lifecycle — design, art, audio, narrative, code, live ops. ⦁Evaluate frontier generative and agentic AI tools against real production constraints. ⦁Build a grounded framework for how AI fits into each development stage. ⦁Track the global AI × games frontier and turn it into actionable team insights. ⦁Shape requirements for internal AI creation tools. Who We Look For ⦁ Gamer — You play games and think about them. Tell us what you play in your application. ⦁ AI-native — You reach for AI tools reflexively and stay curious about how they work. ⦁ Builder — You turn ideas into real things, fast. ⦁ Communicator — Fluent English; Mandarin a plus. ⦁ Any game dev experience (jams, projects, mods) or hands-on generative AI work is a strong plus. ⦁Currently enrolled or recently graduated — no industry experience required. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Game Production Intern
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails We are looking for an AI & Game Production Intern to support our European production team working closely with Tencent and partner game studios across Europe. This role is ideal for someone who is both technically savvy and highly organized, with an interest in video game production, AI tools, workflow optimization, and operational support. The intern will assist producers with AI-related initiatives, production support, internal tool support, troubleshooting, and day-to-day operational coordination. The role includes helping teams adopt and maintain AI tools and workflows, supporting setup and troubleshooting, and assisting with internal systems and documentation. Who We Look For Responsibilities - Support the team with AI-related initiatives and workflow improvements - Assist with setup, configuration, onboarding, and troubleshooting of AI and internal productivity tools - Help maintain and organize AI tool documentation, prompts, workflows, and usage guidelines - Provide day-to-day operational and technical support to producers and team members - Support reporting, data input, tracker maintenance, and production documentation - Assist with coordination between European studios and Tencent teams - Help monitor and maintain internal tools, databases, and operational processes - Identify opportunities to improve efficiency through automation and AI-assisted workflows - Assist with testing new AI tools and features for internal team usage - Provide ad hoc operational support to producers, including contract follow-up, supplier onboarding, and payment tracking through internal tools and systems - Support meeting preparation, notes, action tracking, and follow-up coordination Requirements - Currently enrolled in or recently completed a degree related to Game Production, Information Technology, Computer Science, Business, Interactive Media, or a related field - Strong interest in video games, game production, and emerging AI technologies - Comfortable with technology setup, troubleshooting, and supporting non-technical users - Good understanding of modern AI tools and productivity platforms - Strong organizational skills and attention to detail - Excellent communication skills in English - Mandarin Chinese proficiency is preferred - Proactive, reliable, and comfortable working in a fast-paced international environment - Experience with tools such as ChatGPT, Gemini, Claude, Notion, Excel, or similar platforms is a plus - Basic technical knowledge or scripting/automation experience is a bonus What You’ll Gain - Hands-on experience supporting AI initiatives within an international game publishing environment - Exposure to collaboration between European studios and Tencent teams - Experience with production operations, workflow optimization, and internal tooling - Opportunity to work closely with experienced producers and cross-functional teams - Practical experience applying AI tools in real production and operational environments Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Game AI Product Management Intern
Business Unit LIGHTSPEED STUDIOS is made up of passionate players who advance the art & science of game development through great stories, great gameplay, and advanced technology. We are focused on bringing next generation experiences to gamers who want to enjoy them anywhere, anytime, across multiple genres and devices. About the Hiring Team Lightspeed Tech Center is a R&D department under Lightspeed Studios which develop PUBG Mobile and other high-quality games. Our Tech Center leads the research, exploration, and discovery of innovative technologies and provides technical services for all games during all phases of life cycle, including engine, audio, QA, AI, next generation game, technical cooperation, etc. What the Role Entails - Track domestic and international cutting-edge developments in AI generative models and intelligent agents (AI Agents), conduct market research and trend analysis on AIGC technologies, products, and applications. - Assist product managers in driving the application of AIGC technologies in gaming, combining insights into gaming business and evaluations of LLM/Agent model capabilities to formulate technical implementation plans. - Design innovative solutions integrating gameplay with AI agents, coordinate resources to ensure high-quality project delivery. - Develop data and technical standards for AIGC/AI Agent-related gaming products, design scenario-based application solutions, and operational demonstration plans. - Explore deep integration of AI agents into gaming scenarios (e.g., NPC interactions, procedural content generation, dynamic narratives), and optimize synergies between technical capabilities and user experience. Who We Look For - Bachelor’s degree or higher in Computer Science, Software Engineering, AI, Data Science, or related fields. - Passion for the gaming and internet industries; familiarity with AI agent principles and frameworks; prior experience in technical prototyping or scenario-based implementation is a plus. - Basic understanding of development, testing, and operational workflows; strong product mindset and analytical skills. - Exceptional creativity and systematic design ability, capable of independently drafting requirements documentation and coordinating cross-team communication. Bonus points： - AI Technical Proficiency: Solid grasp of AI fundamentals and mainstream algorithms, with deep expertise in at least one AI domain (e.g., generative models, reinforcement learning) and its practical limitations. - AI Agent Expertise: Hands-on experience researching AI agent technologies, familiarity with mainstream frameworks, and awareness of deployment challenges. - Gaming AI Experience: Prior work applying AI in gaming contexts (e.g., smart NPCs, dynamic environment generation, player behavior prediction). Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Product Manager Intern
About the Hiring Team Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. What the Role Entails Responsibilities: • Conduct market research to understand UA advertising structures within the industry. Leverage the Al-powered capabilities to assist in planning and developing new features for the overseas gaming publishing platform. • Support the creation of product requirement documents and user stories, organize product roadmaps, and collaborate with R&D and testing teams to implement the products. • Collaborate with product operations, data analysis, and data science teams to identify business service cases and transform data-driven insights into product features. • Understand the overseas game publishing and operational processes, gather insights from business feedback, analyze data, and propose optimization suggestions for the product. Who We Look For Qualifications: • This position is open to students pursuing a master’s or above degree (no specific major required; marketing, computer science, or related fields preferred) . • Passionate about Al and proficient in leveraging Al tools to turn ideas into reality • Strong interest in the gaming industry, with an understanding of player behavior and market trends. • Fluent in English, capable of using it as a working language. • Proficiency in product prototype design tools; data analysis skills are a plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Senior Strategic Sales Manager, Cloud & AI
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails Position Overview Tencent Cloud is looking for a talented and experienced Senior Strategic Sales Manager to be based in Paris. The successful candidate will be responsible for establishing and managing Tencent Cloud’s most important strategic accounts in the Netherlands. This role requires a strategic mindset to define sales priorities, develop and execute action plans, exceed cloud sales targets, and build strong relationships with key stakeholders in target accounts. The individual will play a critical role in driving cloud revenue growth, securing new large strategic clients—especially in Retail, telecom, eCommerce, Gaming —and leading the negotiation and management of high-value contracts. Key Responsibilities - Own the full sales cycle: from prospecting and lead generation to closing contracts and driving account expansion. - Build and manage executive-level (C-level) relationships to become a trusted advisor. - Develop and execute strategic account plans to achieve and exceed sales quotas. - Act as a product expert on Tencent Cloud's digital native offerings, crafting solution-based proposals. - Partner cross-functionally with Solutions Engineering, Legal, and Finance to deliver value and close complex deals. Who We Look For Qualifications & Requirements - Experience: 10+ years of B2B sales experience in technology/cloud/digital sectors, with a proven track record of selling complex solutions to C-level executives. - Skills: A true "hunter" with outstanding ability to close. Exceptional in consultative selling, negotiation, and executive communication. - Mindset: Highly motivated, goal-oriented self-starter with strong critical thinking and problem-solving skills. - Plus: Curiosity and experience in AI; background in E-commerce. - Languages: Fluent English and French are mandatory.Mandarin Chinese is a significant plus. We're Looking For Someone Who Is - Results-driven and quota-obsessed. - A skilled relationship-builder and strategic account manager. - A proactive problem solver and a team collaborator. - Adaptable and a fast learner in a dynamic environment. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Sr. Product Manager, AI Infrastructure
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Product Strategy & Roadmap: Own the full lifecycle management of AI infrastructure platforms (including large-scale clusters, distributed systems, lifecycle management toolchains, and model service gateways); develop 3-5 year strategies and annual roadmaps that align business goals with technical excellence, balancing performance, cost, usability, and reliability. - Requirement Synthesis: Deeply analyze the core pain points of internal ML teams, data scientists, and enterprise clients; translate technical requirements into clear PRDs and technical specifications, leading products from 0→1 incubation to 1→N scaled iterations. - Cross-functional Collaboration: Partner with hardware architecture, heterogeneous systems, software engineering, algorithms, and SRE teams to drive product R&D and operations; resolve critical technical trade-offs during the development process. - Metric Framework: Establish a core performance indicator system (e.g., throughput, latency, compute resource utilization , cost efficiency, and developer satisfaction); leverage data to drive continuous product optimization. - Technical Foresight: Track cutting-edge advancements in AI Infrastructure (such as compiler optimization, cloud-native architectures, and large-scale model training/inference techniques) and industry trends to build differentiated competitive advantages. - GTM & Commercialization: Collaborate with GTM and sales teams to articulate product value propositions, technical whitepapers, and POC solutions to drive commercial success and client acquisition. Who We Look For Education: Master’s degree or higher in Computer Science, Electronic Engineering, Mathematics, or a related STEM field. Professional Experience: Extensive experience in product management, with a focused track record in AI Infrastructure, cloud computing, distributed systems , or developer platforms. Technical Proficiency: Familiar with the end-to-end model development lifecycle; understanding of compilation optimization, high-performance inference engines, and distributed training optimization techniques ; product design experience in these areas is a strong plus. Communication & Leadership: Exceptional cross-team communication and "influence without authority"; ability to drive project execution in ambiguous, fast-paced environments. Preferred Qualifications: Experience in major cloud service providers or leading AI companies; active contributions to relevant open-source technical communities . Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $113,900.00 to $213,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Sr. LLM Application Engineer (AI Agents)
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Platform Architecture Design: Lead the design and development of Agent-native platforms tailored for R&D availability, environment governance, and AIOps ; drive the implementation of generative AI technologies to solve complex engineering challenges. - Knowledge Engineering: Build and maintain enterprise-grade vertical domain knowledge bases ; implement advanced retrieval and integration strategies to empower intelligent agents with specialized domain expertise. - AI Capability Center: Integrate Large Language Model (LLM) capabilities with internal toolchains and standardized APIs; encapsulate these into reusable intelligent components to establish a centralized AI capability hub, boosting overall R&D and operational efficiency. Who We Look For Education: Bachelor’s degree or higher in Computer Science, AI, Software Engineering, or a related field. Core Experience: Proven experience in LLM application development, with a strong track record in AI Agent architecture or RAG system optimization. Technical Expertise: Deep understanding of AI Agent paradigms, RAG optimization, and standardized tool-use protocols ; familiar with the entire pipeline from data processing and vectorization to intelligent generation. Professionalism: Passionate about driving business efficiency through AI; excellent autonomous learning skills, logical thinking, and cross-functional collaboration capabilities. Preferred Qualifications Domain Knowledge: Background in Cloud Computing, IaaS/PaaS, DevOps automation, or AI-driven R&D efficiency. Collaborative Design: Familiar with Multi-Agent System (MAS) design and standardized agent-to-agent communication protocols/orchestration frameworks. Community Contribution: Active contributor to open-source AI projects or a track record of high-quality technical publications in AI engineering. Production Experience: Proven experience in leading or playing a key role in deploying production-grade AI Agent systems . Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $151,300.00 to $283,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Sr. Cloud AI Infrastructure Engineer
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails 1.Architecture Research: Conduct in-depth research into the underlying hardware logic of various AI accelerators ; evaluate the power-efficiency ratio and suitability of different heterogeneous architectures in the context of Large Language Model (LLM) inference and training. 2.Operator & Performance Optimization: Design and optimize high-performance operator libraries for large-scale cloud computing environments; resolve long-tail latency issues in hardware scheduling, memory management, and distributed communication. 3.Interconnect Architecture Definition: Define the interconnect architecture ; drive the virtualization, standardized access, and efficient pooling of heterogeneous computing resources in the cloud. 4.Technology Trend Analysis: Monitor global trends in semiconductors and accelerators; perform feasibility studies and experimental validation for the implementation of emerging technologies within cloud infrastructure. Who We Look For 1.Education: Master’s or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field. 2.Core Expertise: Expertise in GPGPU architectures or other mainstream AI accelerator architectures . 3.Programming & Frameworks: Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton ). 4.Network & Distributed Systems: Solid understanding of large-scale distributed systems, cluster topologies (e.g., Fat-tree, Torus ), and high-performance network protocols. 5.Industry Insight: Familiar with the architectural evolution of global leading computing enterprises; ability to objectively analyze the technical pros/cons and engineering challenges of different architectural paths. 6.Experience: Experience in the application, optimization, or architectural design of ultra-large-scale accelerator clusters is preferred. 7.Framework Optimization: Experience in the low-level adaptation and performance tuning of mainstream deep learning frameworks (e.g., PyTorch, TensorFlow) is preferred. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $151,300.00 to $283,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Sr. AI Inference Systems Engineer
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - End-to-End Inference Optimization: Lead the optimization of the full inference pipeline for Large Models (LLM, Multimodal); focus on KV Cache storage strategies, Router architecture design, and collaborative operator optimization to maximize throughput and minimize latency. - Heterogeneous Computing Research: Conduct in-depth research into the underlying inference logic of various hardware accelerators ; evaluate architectural suitability for real-time, batch, and streaming inference scenarios to develop standardized optimization schemes. - Inference Framework & Toolchain: Design and implement high-performance inference frameworks; optimize scheduling and memory management to resolve long-tail issues such as communication latency and load imbalance in distributed inference. - Technological Innovation: Track global advancements in inference technology (e.g., compiler optimization, model compression, and hardware fusion); drive the productization of emerging technologies within production environments. - Technical Leadership: Lead efforts to overcome key technical bottlenecks in inference optimization; design technical roadmaps and mentor team members to build a robust AI inference technical ecosystem. Who We Look For - Education & Experience: Master’s or Ph.D. in Computer Science, Electronic Engineering, AI, or related fields; significant professional experience in AI inference optimization or heterogeneous computing. - Hardware Expertise: Proficient in at least one AI accelerator architecture ; deep understanding of underlying principles, instruction sets, and hardware-specific tuning. - Inference Specialization: Mastery of core inference optimization techniques, including multi-level KV Cache management, Quantization, and Intelligent Routing . - Systems Proficiency: Expert in parallel computing and distributed systems; deep understanding of low-level programming models (e.g., CUDA, Triton) and inference engine architectures. - Frameworks & Models: Familiar with mainstream deep learning frameworks (e.g., PyTorch, TensorFlow); experience in optimizing ultra-large-scale models is highly preferred. - Industry Insight: Stay current with global evolutions in inference technology and computing architectures, with the ability to objectively evaluate different technical paths. - Professional Skills: Strong analytical and cross-team collaboration skills, with a proven track record of leading complex inference projects to fruition. - Preferred Qualifications: Experience in tuning ultra-large-scale inference clusters or driving AI inference productization; high-level publications or core patents in relevant fields are a plus. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $124,800.00 to $235,000.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Product Manager – AI Creator Platform (WorkSolo)
Business Unit Platform & Content Group (PCG) is responsible for the company's Internet platform and the integrated development of the content and culture ecosystem. PCG integrates social platforms such as QQ and QZone with traffic platforms such as Tencent's App Store and browsers, as well as content platforms including news, videos, sports, live broadcasts, animes and movies to develop a better growth environment for Tencent's content ecosystem. PCG promotes the cross-platform and multi-modal development of IP, with the overall goal of creating more diversified premium digital content experiences for more users. What the Role Entails About WorkSolo WorkSolo is a professional creation tool built for AI creators. It empowers independent creators, studios, and creative professionals with AI-native workflows to ideate, produce, and publish high-quality content — from concept to final output. As we scale internationally, we're looking for a seasoned product manager to shape WorkSolo's product vision, roadmap, and creator experience for global markets. Key Responsibilities Product Strategy & Roadmap - Own the product strategy and roadmap for WorkSolo's overseas markets, aligning HQ vision with local creator needs - Define product North Star metrics and success criteria (activation, retention, creation depth, publish-through rate, monetization) - Translate market insights, competitive intelligence, and creator behavior trends into prioritized product bets AI-Native Feature Design - Lead end-to-end product design for AI creation workflows — covering ideation, generation, editing, collaboration, and publishing - Define and ship features around multimodal generation (text-to-image, text-to-video, voice, 3D), agentic workflows, asset management, and creator monetization - Partner with AI/ML, design, and engineering teams to ship high-quality experiences at startup speed User Research & Market Insight - Build a continuous discovery system: creator interviews, usability studies, community listening, and quantitative analysis - Synthesize insights from Discord, Reddit, X/Twitter, YouTube, and TikTok creator ecosystems into product requirements - Develop deep personas for AI creators (independents, studios, professional creatives) and map their end-to-end workflows Localization & Market Fit - Drive product localization strategy across language, payment, content policy, and creator economics for key markets (North America, EU, JP/KR, SEA, LATAM) - Define market-specific feature variants, onboarding flows, and pricing/packaging in collaboration with operations and growth - Champion the international user's voice within HQ; influence the global product roadmap with regional priorities Data & Experimentation - Build a rigorous experimentation culture: hypothesis → A/B test → learning loops - Define instrumentation requirements and partner with data teams on dashboards, funnels, and cohort analysis - Use analytics tools (Amplitude, Mixpanel, Looker, etc.) to monitor product health and identify growth levers AIGC Ecosystem & Partnerships - Stay at the forefront of the global AI creator tools ecosystem (workflows, toolchains, emerging models, and creator behavior trends) - Identify integration and partnership opportunities with model providers, distribution platforms, and creator ecosystems - Represent WorkSolo at industry events, creator conferences, and AIGC community gatherings Cross-Functional Leadership - Lead cross-functional squads of engineers, designers, researchers, and data scientists across HQ (China) and LA - Own clear written PRDs, specs, and trade-off rationales; drive alignment across time zones - Collaborate closely with overseas operations, marketing, and BD to ensure go-to-market readiness Who We Look For Qualifications - 5–8 years of product management experience, ideally within creator tools, AIGC platforms, content/media, or developer-facing creative products - Proven track record shipping consumer or prosumer products at scale in international markets - Deep familiarity with the global AI creator tools landscape — including generation tools (Midjourney, Runway, Pika, Kling, Sora), creation workflow tools (Notion AI, Canva AI, Adobe Firefly, CapCut), and creator platform ecosystems (YouTube Studio, TikTok Creator Marketplace, Patreon, Substack) - Hands-on experience designing AI-native features (prompting UX, multimodal generation, agentic workflows, model orchestration) is strongly preferred - Strong data literacy; comfortable defining metrics, designing experiments, and using analytics tools (Amplitude, Mixpanel, Looker, SQL) - Experience operating across Western social platforms (TikTok, YouTube, Instagram, Discord, Reddit, X) and understanding how AI creators discover, adopt, and evangelize creation tools - Excellent written and verbal English communication; Mandarin Chinese is a strong plus for HQ collaboration - Self-starter with startup mentality; comfortable operating with ambiguity, time-zone span, and the speed of an early-stage international expansion - Bachelor's degree or above in Computer Science, Design, HCI, Media, or a related field; equivalent practical experience welcome Nice to Have - Prior experience launching products from 0 → 1 in overseas markets - Personal creator background or active participation in AIGC creator communities - Familiarity with creator monetization models (subscriptions, marketplaces, revenue share, tipping) - Experience working across China–US dual-HQ structures Location State(s) US-California-Los Angeles The expected base pay range for this position in the location(s) listed above is $102,200.00 to $191,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Hunyuan Multimodal Reinforcement Learning Research...
Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. What the Role Entails Responsibilities: 1. Conduct research on RL algorithms for multimodal models, including diffusion models for image, video, and 3D generation, autoregressive models for multimodal understanding, and potentially unified multimodal frameworks. 2. Design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. 3. Explore next-generation RL paradigms that more directly and effectively learn from environment feedback. Who We Look For Requirements: 1. Currently enrolled as a PhD student in Computer Science or a closely related field. 2. Demonstrated strong research capability, with publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, SIGGRAPH. 3. Strong hands-on programming skills, with solid experience in deep learning system implementation, model training and inference optimization, CPU/GPU acceleration, and distributed training and inference. 4. Prior experience with diffusion models, autoregressive models, and/or text-to-image or text-to-video generation is highly preferred. 5. Participation in ACM/NOIP is a strong plus. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $80,168.40 to $124,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Associate, Global AI Policy
About the Hiring Team The Global Public Affairs team is committed to identifying and implementing proactive public policy positions to support the business and provide thought leadership across a number of issues, including technology, entertainment, and international trade and investment. What the Role Entails A. About Tencent Tencent is a leading global technology and entertainment company focused on connecting people and developing innovative products and services. Founded in 1998 and publicly traded on the Hong Kong Stock Exchange since 2004, Tencent’s communication and social services, entertainment (video games, music, sports, and film/TV), fintech, cloud, and enterprise solutions are used by hundreds of millions of people around the world. Tencent has been recognized as one of the “World’s Best Employers” (Forbes), including as one of the “Best Workplaces for New Graduates” (2026); one of the “World’s Most Admired Companies” (Fortune); and one of the “World’s Best Companies” (Time). In addition to its headquarters in Shenzhen, Tencent maintains offices across Asia, Europe, North America, and Latin America, including Hong Kong, Singapore, Tokyo, Seoul, Amsterdam, London, Paris, Palo Alto, Los Angeles, New York, and Washington, D.C. To learn more about the company, visit www.Tencent.com (About Us). B. About the Role Tencent is seeking a highly motivated Associate, Global AI Policy to join its Global Public Affairs team in Palo Alto. This early-career position offers a unique opportunity to work at the intersection of artificial intelligence, public policy, technology, and international affairs. The Associate will support Tencent's global AI policy efforts by researching emerging policy developments, monitoring legislative and regulatory activity, analyzing technology trends, and helping develop insights for Tencent businesses. The role will work closely with colleagues across public affairs, legal, compliance, and AI and Cloud product teams, while also engaging with external stakeholders including policymakers, think tanks, industry associations, academic institutions, and civil society organizations. While the position will be based in Palo Alto, the successful candidate will contribute to Tencent's assessment and understanding of broader AI trends globally, including the US but also Europe, Asia-Pacific, etc. Policy Research & Analysis - Monitor and analyze developments related to artificial intelligence, including machine learning, generative AI, agentic AI, semiconductors, and other emerging technologies. - Track and assess industry initiatives and policy developments in the United States and other key international markets. - Prepare concise policy briefings, research memoranda, presentations, and executive summaries for internal stakeholders. - Support analysis of AI policy trends and their potential implications for Tencent's business and technology strategy. - Identify emerging risks, opportunities, and policy developments relevant to Tencent's AI and cloud businesses. Cross-Functional Collaboration - Partner with internal teams across public affairs, legal, compliance, product, engineering, and research functions. - Assist with the development of policy positions, consultation responses, and external-facing materials. - Support preparation for meetings, conferences, speaking engagements, and policy discussions. Stakeholder Engagement - Assist in managing relationships with think tanks, academic institutions, trade associations, and policy organizations. - Support Tencent's participation in AI policy forums, conferences, workshops, and industry events. - Help coordinate internal and external meetings and maintain stakeholder engagement databases and tracking tools. Who We Look For We are looking for an intellectually curious individual who enjoys learning about complex issues and translating them into clear insights for business and policy teams. The ideal candidate is a strong writer, a disciplined researcher, and someone who is genuinely excited by the policy questions surrounding artificial intelligence and emerging technologies. Successful candidates may come from leading universities, graduate programs, consulting firms, think tanks, policy research organizations, or technology companies. Most importantly, they should possess strong analytical instincts, sound judgment, and a desire to help shape the future of AI policy in a rapidly changing global environment. Specific qualifications include: - Bachelor's degree required; Master's degree preferred. Relevant fields include Public Policy, International Affairs, Political Science, Economics, Computer Science, Artificial Intelligence, Data Science, Engineering, Law, or related disciplines. - 0 – 3 years of relevant professional experience. - Strong interest in artificial intelligence, technology policy, innovation, and emerging technologies. - Exceptional research, writing, and analytical skills are required. - Ability to synthesize complex information into clear and actionable insights. - Strong organizational skills and attention to detail. - Excellent verbal and written communication skills. - Ability to thrive in a fast-paced and multi-cultural environment. - Familiarity with AI governance, technology regulation, or digital/cloud policy preferred. - Mandarin with international teams preferred but not required - Experience conducting quantitative or qualitative policy research. Location State(s) US-California-Palo Alto The expected base pay range for this position in the location(s) listed above is $82,700.00 to $200,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
AI Script Editor & Screenwriter – AI Creator Platf...
Business Unit Platform & Content Group (PCG) is responsible for the company's Internet platform and the integrated development of the content and culture ecosystem. PCG integrates social platforms such as QQ and QZone with traffic platforms such as Tencent's App Store and browsers, as well as content platforms including news, videos, sports, live broadcasts, animes and movies to develop a better growth environment for Tencent's content ecosystem. PCG promotes the cross-platform and multi-modal development of IP, with the overall goal of creating more diversified premium digital content experiences for more users. What the Role Entails About WorkSolo WorkSolo is a professional creation tool built for AI creators. It empowers independent creators, studios, and creative professionals with AI-native workflows to ideate, produce, and publish high-quality content — from concept to final output. As we expand globally, we're looking for a creative and technically fluent AI Script Editor to help define what great AI-generated storytelling looks like for international audiences. Key Responsibilities : AI Content Evaluation & Process Design - Lead the evaluation of AI-generated content quality, establishing clear benchmarks and frameworks for narrative effectiveness, emotional resonance, and audience engagement - Design and continuously refine end-to-end content generation workflows in close collaboration with Agent engineers - Develop testing methodologies and feedback loops to systematically improve AI output quality across storylines, dialogue, and scene construction Skill Development & Iteration - Own the optimization and iterative improvement of creative-focused AI Skills within the WorkSolo platform - Translate real-world screenwriting craft into structured, reusable prompt engineering patterns and workflow templates - Document and share skill learnings to build a scalable creative knowledge base for the team Content Quality & Localization - Ensure AI-generated storylines are highly consumable, emotionally compelling, and culturally resonant for overseas audiences - Apply deep knowledge of international content consumption habits to shape plot structures, pacing, character arcs, and dialogue styles - Serve as the creative quality bar-raiser — reviewing, editing, and elevating AI-generated scripts to professional production standards Who We Look For Qualifications - 1–5 years of screenwriting experience for overseas short dramas, films, or series; at least one produced and released overseas project required - Substantial hands-on experience with AI co-creation; fluent with mainstream SOTA models (e.g., GPT-4, Claude, Gemini) and their application in creative workflows - Has developed a personal, distinctive AI-assisted writing workflow with documented skill and prompt libraries - Native-level English writing ability; capable of producing scripts that read as authentically Western in voice, tone, and cultural reference - Solid understanding of overseas content ecosystems — including streaming platforms (Netflix, Hulu, YouTube), short-form drama platforms (Webtoon, Wattpad, Radish), and social video trends (TikTok, Instagram Reels) - Bonus: Experience with short-form vertical drama formats, interactive storytelling, or AI-generated visual narrative content - Comfortable working at the intersection of creative craft and technical systems; ability to communicate effectively with both engineering and product teams Location State(s) US-California-Los Angeles The expected base pay range for this position in the location(s) listed above is $80,168.00 to $139,900.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company’s 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee’s tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
(Senior) Cloud & AI Solution Architect
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses. What the Role Entails - Technical Consulting & Enablement: Provide professional services, including business technology consultation, cloud solution training, and technical enablement to support Tencent Cloud’s international business growth. - Solution Design & Migration: Collaborate with international architects and partners to design architecture on the Tencent Cloud platform. Guide customers and partners through system migration to the cloud, offering expertise in application and data migration, and supporting the development of applications and services on our platform. - Pre-sales & Project Coordination: Coordinate cross-functional resources from product, service, and operations teams to provide robust pre-sales technical support for key partner projects and strategic opportunities. - Ecosystem & Knowledge Development: Participate in building and structuring Tencent Cloud’s global technology partner ecosystem. Contribute by summarizing and documenting technical solutions and industry-specific use cases. Who We Look For - Education & Core Experience: A Bachelor’s degree or higher, with over 5 years of hands-on experience in public or private cloud environments, and a solid understanding of technologies and solutions from major cloud providers. - Technical Breadth: Professional experience in at least two of the following domains: Software Development (proficient in Java, Python, or similar), System Operations & Maintenance, System Integration, Solution Design, Technical Consulting, Enterprise IT Systems & Architecture Management, Big Data, or AI. - Communication & Engagement: Excellent communication and interpersonal skills, with the ability to effectively engage and build trust with customer stakeholders at all levels—from business leaders and technical decision-makers to front-line engineers. - Mindset & Approach: A strong customer-centric mindset, a rigorous and detail-oriented work ethic, and a deep sense of responsibility. You are a proven self-starter with a strong sense of ownership and a proactive attitude. - Language Skills: Fluent English is mandatory. Proficiency in a major European language (e.g., Dutch, German, French, Spanish, Portuguese) and/or Mandarin Chinese is a significant plus. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
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