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Principal Software Engineer - Economy ML (Data Sys...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Who We Are: Shape the future of Roblox’s virtual economy. The Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale. As a Principal Software Engineer (Data Systems) , you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various product surfaces in Marketplace, Developer Monetization and Payments. You will be involved in key data projects from architecting event taxonomies and logging interfaces to real-time feature serving across multiple search and recommendation surfaces. What You’ll Do - Act as data engineering lead for Economy ML, setting standards for batch vs streaming feature pipelines, table design, observability, and documentation used across the Economy group. - Work as a hands-on contributor on our data systems to power content recommendation, search and personalization across Economy product surfaces. - Partner with Product, Data Science and ML engineering counterparts to prioritize data initiatives that unlock top-line business goals and reduce tech debt in existing datasets and pipelines. - Mentor other DE/ML engineers on best practices for schema design, client logging, experimentation data, and feature pipelines, raising the overall bar for data work. - Collaborate with partner and platform teams across Roblox to make sure we are building products with a community first approach. - Research and leverage industry-leading practices while making product impact. You Have - 8+ years of experience as a product-focused data systems engineer (preferably working with search, recommendation, advertising or personalization systems). - Experience designing efficient logging schemas and optimizing data processing pipelines. - Experience with real-time stream processing and batch processing (using technologies such as Flink, Spark, Kafka, Druid) - Familiarity with feature stores and other machine learning infrastructure. You Are - A Technical Leader : You have initiated and facilitated challenging technical solutions. Your technical expertise influences product direction. You nurture a culture of technical excellence. - Versatile : You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation. You are resourceful, and take a creative and strategic approach to solving hard problems. - Analytical : Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - User Oriented : You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. - Team Oriented : You lift up your peers and find ways to make the team stronger. Why Economy ML @ Roblox? - Cross-surface impact: Your work will influence virtual item recommendations, Robux pricing, page layout, avatar generation, and more. - Scalable infrastructure: Build on top of Roblox’s ML Platform and Data Infrastructure to accelerate data analysis, experimentation and rapid deployment of product ML solutions. - High-leverage mission: Directly contribute to key growth levers: retention, engagement, monetization, and creator success. Flexible structure: Work in a fluid pod model, allocating effort to the most strategic initiatives without rigid silos For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $354,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Manager, Software Engineering - AI Product (London...
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for an Engineering Manager to join the Developer Tools team at Figma. This team is building solutions targeting mainly frontend and full stack developers, helping them bring products from idea to production faster than ever. As a manager on the Developer tools team you will lead teams working across Dev Mode, MCP, Code Connect, and more. You’ll also be responsible for helping define the future of our developer offering, very likely helping incubate and lead new product development. Developer tools is a major initiative at Figma and is spearheaded from the London office. You’ll be working on one of the most exciting areas within Figma incorporating design thinking, the latest AI developments, and open source developer tooling. This is a full time role that can be held from our London hub or remotely in the UK. What you’ll do at Figma: - Manage and support a team of product engineers focused on building and expanding Figma’s developer offerings, including Dev Mode, MCP, Code Connect, and more - Partner closely with cross-functional stakeholders to coordinate work across product, design, engineering, and other functions - Define strategy & roadmap for your team and execute on that roadmap with a high degree of autonomy, velocity, and craftsmanship - Provide hands-on technical leadership to your teams and others that collaborate with your teams to ensure a cohesive product experience and the right technical abstractions - Recruit, mentor, and retain high performing engineers (and help with other cross functional roles). You’ll foster a culture of innovation, collaboration and taking calculated risks - Figma is committed to building an inclusive and diverse team and culture. We expect all of our leaders to play a role in helping to build and drive these initiatives through hiring, community events, and other programs in partnership with teams across all of Figma We'd love to hear from you if you have: - 2+ years of experience managing software engineers working on products used by external users - A proven track record of building AI-powered products (both as a manager and individual contributor) that are best in class in user experience - Demonstrated ability to tie product and engineering work to clear business impact - Demonstrated leadership skills in building a high-performing and highly engaged engineering team; including mentoring, and growing senior engineers - Strong ability to build and operate fast-moving teams that balance innovation with execution - Genuine curiosity and enthusiasm for emerging AI technologies and their application to user-facing products While not required, it’s an added plus if you also have: - Experience building large scale systems using React, C++, and/or Ruby - Experience building & maintaining open source software and/or libraries for developers - Knowledge and experience in generative AI, RAG, the fine-tuning process and its application to creative products </ul
Principal/Senior Machine Learning Scientist - Sear...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking experienced machine learning researchers who thrive on solving complex challenges and designing scalable, ground breaking solutions. In this role, you will innovate on LLMs, VLMs, autoregressive models, or other large models for user understanding, content understanding, recommendation, and agentic search. Your work will lay the foundation for personalizing user experiences, enhancing engagement and retention, and driving growth within the creator ecosystem. In search and discovery, you will contribute to the core systems that enable users to discover and interact with experiences across Roblox. These systems drive exploration and engagement across all surfaces, helping users find relevant and exciting content. Looking ahead, our team aims to innovate further by developing auto-generated summaries, images, and videos from experience content to improve discoverability and inspire user exploration. Our mission is to connect a billion users with the best content and connections at the right time, tackling diverse challenges in advertising, search, and discovery at an unprecedented scale. Join us and play a pivotal role in shaping the future of Roblox’s search and discovery. You Will: - Design and implement the machine learning solutions that power agentic search and discovery systems to drive Roblox content distribution. - Design and implement large scale recommendation models. - Design and implement LLMs and VLMs for visual understanding and natural language understanding. - Balance researching new technologies with a practical approach to integrate research efforts into the Roblox products. - Collaborate with other teams within Roblox to make sure we are building products with a community first approach. - Communicate with the industry and communities where applicable and be ambassador for Roblox. You have: - You have 7+ (for principal) or 4+ (for senior) years of experience designing and building scalable machine learning solutions. Experienced with transformer based model training, inference, and product integration. Break down product requirements into iterative deliverable stages. - You have a BS, MS, or PhD in Computer Science or a related discipline or equivalent experience. - You have initiated and facilitated challenging technical decisions across multiple teams and organizations. - While deeply technical, you always start with the needs of the user, whether they are Roblox users or internal engineers. - A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $278,530 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Machine Learning Engineer, Embodied AI a...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Machine Learning Engineer within the Creator Services Machine Intelligence team, you will focus on the research and development of Embodied AI and Behavioral Agents that revolutionize how games are created and played on Roblox. You will bridge the gap between cutting-edge research and massive-scale product application, building agents capable of complex 3D gameplay and unblocking many use cases across Roblox, from automated playtesting to ensure quality, to "ML Players" with human-like movement and strategic reasoning, playing with real players in games. You will work on feature extraction, model training, building validation / RL platform as well as inference set up leveraging methods from imitation learning to reinforcement learning. And you will create generalizable agents that can perceive 3D environments, understand game rules, plan long-term strategies, and execute complex physics-based actions in real-time. You Will: - Design and implement foundation models end to end through the feature extraction to inference for embodied agents. - Define the long-term roadmap for Game AI and Embodied Intelligence, acting as a technical bar-raiser for code quality and architectural design. - Balance the exploration of cutting-edge deep learning research with the practical constraints of serving models to millions of concurrent users. - Mentor fellow engineers and researchers, fostering a culture of technical excellence and scientific inquiry. - Collaborate with Product Managers, Backend and Game Engine Engineers and other Roblox team members. You Have: - PhD or Master’s in Computer Science, Applied Math, or other field. A record of top-tier publications (e.g., NeurIPS, ICML, CVPR, AAAI, SIGGRAPH, etc) in embodied agents or related domains is a plus. - 7+ years of experience as a Machine Learning Engineer or Research Scientist, applying research to tangible products. - Deep technical understanding of Imitation Learning, Robotics, Reinforcement Learning, Computer Graphics and Vision, with experience working on low-latency motor control (human-like movement) and high-level strategic reasoning (game rules/goals). - Experience with building large scale data/feature pipeline, simulation environments for evaluation / RL. - Experience training models on large-scale distributed clusters and understanding the challenges of inference in real-time gaming environments. - Proficiency in Python (PyTorch/TensorFlow) and familiarity with C#, C++, or similar systems languages. - A passion for bridging the gap between research and production, moving beyond academic benchmarks to launch scalable solutions that directly impact millions of users. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $345,040 - $399,420 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Machine Learning Engineer, Content Safet...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Content Safety? As a Principal Machine Learning Engineer for Content Safety, you will define the future of proactive moderation, driving immense social impact through cutting-edge, innovative ML solutions, focused on critical and ambiguous safety challenges. You will set the 3-5 year technical strategy and architectural blueprint for how Roblox uses machine learning for content moderation. You will own the architectural and execution roadmap of massive-scale ML systems that mitigate violative UGC content before it impacts our community. You will feel a deep sense of responsibility in proactively protecting our community thoughtfully and fairly, while balancing user freedom with platform civility. Your efforts will ensure Roblox remains one of the safest places on the internet for our broad community of over 100 million daily active users. You will: - Define and Own the Technical Vision: Define and lead the multi-year technical vision, architectural strategy, and execution for machine learning solutions in Content Safety, ensuring these systems proactively and effectively detect and mitigate violative content at massive scale. - Strategic Stakeholder Partnership: Collaborate with executive-level Product, Data Science, Policy, and Operations leaders to define and prioritize the strategic machine learning roadmap, influencing product strategy and demonstrating the impact of ML on user trust and safety outcomes. - Lead Innovation: Oversee the adoption and safe deployment of innovative machine learning techniques (e.g., transfer-learning, self-supervised learning, quantization, LoRA, distillation). - Drive End-to-End Product Development: You will not just model; you will build. You will work cross-functionally to construct datasets from scratch where none exist, build auto-labeling pipelines, and ship solutions to solve novel technical problems. - Ship Code, Not Just Models: Expect to spend roughly 30-40% of your time on backend and integration work . You will be responsible for integrating your work into the production stack, leveraging modern AI coding tools (e.g., Cursor) to accelerate velocity and handle infrastructure complexity You have: - 8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment. - A proven track record of successfully setting the long-term technical direction for an entire ML domain, demonstrating the ability to take ambiguous problems from concept to scaled production impact. - Deep expertise in advanced ML architectures and techniques, including Computer Vision (CV) and/or Vision-Language Models (VLMs) - Expertise in architecting scalable, real-time ML inference services and robust data pipelines - Demonstrated success in leading and resolving high-stakes, cross-functional conflicts and technical disagreements, with an ability to build consensus among diverse stakeholders. - Exceptional product sense and strategic planning ability: able to translate platform safety requirements into an achievable, iterative technical roadmap. You are: - A Visionary Architect: Capable of synthesizing complex business and safety goals into a clear, compelling, and actionable technical strategy. - A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress. - Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. - An Inspiring Leader: Passionate about developing the next generation of technical leaders, managers, and engineers. - An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. - Committed to Ethical AI: Dedicated to building ML systems that are fair, transparent, and operate with the utmost responsibility toward user safety and platform civility. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Data Scientist - Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by establishing reliable ground truth datasets and developing robust prevalence measurement methodologies. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative expert who guides our defensive strategy against evolving safety threats and ensures accountability and scalable solutions. This is a critical opportunity to build innovative detection systems, define what we measure, and prove the impact of our safety efforts. You Will: - Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform, providing the authoritative source of truth for organizational safety goals. - Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies. - Deepen our understanding of violations by conducting exploratory analysis on current and emerging threat landscapes, providing data-backed recommendations on where Product and Engineering should strategically invest detection and moderation resources. - Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development, while also collaborating closely with Policy, Compliance, and Legal teams for full strategic alignment. - Leverage advanced causal inference methodologies to accurately measure the effectiveness and potential systemic impacts of various safety initiatives on player experience and platform integrity. - Communicate strategic insights and present recommendations to leadership and all cross-functional partners, translating complex statistical findings on prevalence, ground truth quality, and effectiveness into actionable strategies for Product, Engineering, Policy, Compliance, and Legal. - Partner with ML and Data Engineering teams to ensure model development, reporting, and detection systems are built on statistically sound ground truth and measurement frameworks. You Have: - 10+ years of industry experience in data science, economics, analytics, or machine learning engineering - 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Knowledge of ML and Deep Learning either via formal training or industry experience - Ability to apply creative first-principles reasoning to solve ambiguous problems - Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $321,230 - $373,680 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Machine Learning Engineering Manager, Critical Har...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically and proactively detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We also keep the platform compliant for changing regulations and growth markets. We cover a broad area of the tech spectrum, including machine learning, experimentation, automation, highly scalable distributed backend systems, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY CRITICAL HARMS? As an Engineering Manager on Critical Harms, you’ll lead an engineering team to identify and address some of the highest-risk and most critical problems we face, including rare events with sparse data such as predatory behavior, child endangerment, extremism, fraud. Safety and Civility is Roblox's #1 priority, and our mission is to protect our community. You Will: - Shape and grow a high-performing engineering team. Support engineers, ranging from junior to principal, in their development. - Foster a team culture of collaboration, innovation, and engineering excellence; while getting things done. - Take responsibility for high-scale systems to detect and address problematic content on Roblox. Operate creatively and strategically in a highly adversarial space. - Own the team’s mission and outcomes. Work with stakeholders to define the team’s roadmap, and ensure execution. - Partner with Moderation Operations, PM, Data, and stakeholders across Roblox, to develop innovative solutions that ensure the safety of user-generated content. You Have: - 2+ years of experience as an engineering manager working in ML space - Excellence in collaborating with others, and in developing software engineers. You have demonstrated outcomes of facilitating team success. - A proven track record of technical delivery in high-scale environments with complex constraints - Ability to contribute to architecture and implementation discussions around high-scale ML systems - Experience solving difficult problems involving both engineering and non-engineering stakeholders You Are: - Resourceful: You're able to navigate tough constraints to find the best solution. You stay laser-focused on the end goal and are adaptable, creative, and strategic to achieve it. - Solution Oriented: You start with the problem to be solved, and stay laser-focused on getting it solved. You can tackle anything that comes your way, whether it’s a technical problem, a business problem, or a people problem. - Team Oriented: You are constantly looking at how to make the team stronger – both the team you directly manage, and the team of peers you collaborate with. Empathetic: You can put yourself in the shoes of anyone – a junior engineer, an executive, an adversarial attacker, a new user – and understand their needs. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Distinguished Machine Learning Engineer - Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. You Will: - Own the technical direction and implementation of machine learning solutions for safety-related systems - Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity - Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement - Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness - Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding - Collaborate with cross-functional teams to define and prioritize the machine learning roadmap You Have: - 10+ years of experience delivering and improving large-scale machine learning systems - Proven expertise in creating and launching machine learning models from scratch - Ability to handle data problems, train models with large datasets, and ensure system reliability at scale - Experience with distributed systems, data architecture, and model extraction - Strong programming skills and willingness to be hands-on as necessary - Prior experience in a leadership role with a technical focus, including mentoring engineering teams You Are: - A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas - Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported - Passionate about maintaining deep technical expertise while meeting end-user needs - Knowledgeable about cutting-edge ML technologies, including LLMs - Experienced in NLP or computer vision (preferred) - Familiar with maintaining and evolving safety systems at scale (preferred) For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $399,420 - $457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Distinguished Engineer, Machine Learning Systems –...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems - AI/ML is a top company priority , with long-term investment. - Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. - Full-system ownership : Build and optimize end-to-end ML pipelines; from data ingestion to GPU training to live inference. - Complex surfaces, rich signals : Design systems for 3D content, UGC, avatar metadata, behavioral and economic signals, not just text or images. - Impact meets innovation : Shape the future of the Roblox economy while working on frontier ML infra and GenAI workflows. You will: - Set the technical direction for ML systems powering core economy experiences: personalization, ranking, generative modeling, and more - Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) - Partner with GenAI teams to explore multi-modal embeddings, avatar generation, and retrieval-augmented generation (RAG) in economic surfaces Lead efforts to optimize ML system performance: low-latency serving, efficient GPU training, and cost-aware inference strategies - Guide the development of robust ML pipelines, online feature stores, and experimentation platforms that support both predictive and generative use cases - Collaborate with EMs, tech leads, and product partners to align technical architecture with business priorities - Mentor senior engineers and help establish a strong technical culture across the Economy ML team - Ensure robustness, observability, and scalability of ML systems that power millions of daily economic interactions - Own the architecture behind some of Roblox’s most foundational ML systems - Work across groups at Roblox to advance the state of ML/AI at the company. - Help scale a fast-growing ML organization and define Roblox’s future economy intelligence stack - Solve real-world problems with real user impact, powering millions of personalized, intelligent economic interactions every day You have: - 10+ years of experience in software engineering or ML infrastructure, with a strong focus on large-scale ML systems - Deep expertise in building recommendation systems, ranking infrastructure, or real-time personalization engines - Hands-on experience with Generative AI, such as transformer-based models, LLMs, embeddings, or RAG pipelines - Proven experience with distributed training, model deployment, and GPU-accelerated workflows - Strong understanding of ML system architecture: data pipelines, feature stores, inference optimization, experimentation tooling - Systems-first mindset with strong instincts around scale, cost, performance, and reliability - Track record of leading large technical initiatives and mentoring senior engineers - BS, MS, or PhD in Computer Science, Machine Learning, or a related field For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $397,460 - $455,720 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Director of Engineering, Economy ML
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Economy ML team sits at the center of this mission. We build ML and AI systems that power personalization, search, pricing, recommendations, and virtual item intelligence across Roblox Economy surfaces, including Avatar Marketplace, Payments, Developer Monetization and Subscriptions. As Roblox continues to invest deeply in AI and ML, this organization also plays a key role in advancing next-generation AI capabilities across the company through close partnership with Discovery, Foundation AI, Engine, Creator and product engineering teams. Our work spans both product impact and foundational ML innovation at Roblox scale. We are looking for a Director of Engineering to lead and scale Economy ML. This leader will define the strategy, organization, and execution model for a fast-growing ML organization spanning recommendation systems, ML infrastructure, search, content intelligence, and Generative AI applications. Why Roblox for ML/AI - AI/ML is a top company priority , with strong executive support and long-term investment. - Massive real-world scale: Millions of users, creators, and economic interactions every day. - Unique technical challenges: Recommendations, pricing, fraud, search, and content understanding and generation across 3D assets, avatars, UGC, and virtual economies. - End-to-end ownership: Drive strategy and execution from modeling and infrastructure to production impact. - Frontier innovation: Apply modern ML and GenAI techniques to problems that do not exist anywhere else in the industry. You Will - Define and lead the long-term strategy for Economy ML across core modeling, recommendations, search, pricing, content intelligence, and ML systems. - Build and scale a high-performing ML engineering organization, including managers and senior ICs. - Partner across teams to help advance shared AI technologies, infrastructure, and modeling capabilities that power experiences throughout Roblox. - Lead investments in next-generation ML systems, including large-scale recommendation models, foundation models, semantic retrieval, and Generative AI workflows. - Establish scalable ML development practices across experimentation, feature engineering, model serving, training infrastructure, and evaluation. - Drive adoption of modern ML architectures including transformers, multi-task learning, retrieval systems, and multi-modal modeling. - Partner with senior leadership to align technical investments with long-term business strategy and company priorities. - Mentor engineering leaders and cultivate a strong technical and execution culture across the organization. - Balance innovation and execution across both near-term product impact and long-term platform investments. You Have - 12+ years of software engineering experience, including significant leadership experience managing engineering organizations. - Experience leading teams focused on machine learning, recommendation systems, search, ranking, or large-scale distributed systems. - Strong technical depth in ML systems, infrastructure, and modern machine learning architectures. - Experience with recommendation systems, marketplace/e-commerce ML, search, or ads systems. - Experience with Generative AI, LLMs, multi-modal models, or foundation model architectures. - Experience operating at large scale, including high-throughput inference systems, distributed training, or real-time personalization platforms. - Proven ability to drive cross-functional initiatives across multiple teams and organizations. - Strong product and business intuition with a track record of delivering measurable impact. - Experience hiring, developing, and retaining strong engineering talent and leaders. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $399,420 - $457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
[2026] Senior Machine Learning Engineer (Systems),...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Team - Creator Services Machine Intelligence Team : The Machine Intelligence team is building an NPC system that can (1) play any Roblox game and (2) perform real-time inference efficiently enough to support deployment to all Roblox players. - ML Platform Team : The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems. What You Will Do As a Senior Machine Learning Engineer, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. Creator Services Machine Intelligence Team - Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform. - Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures. - Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments. ML Platform Team Track 1: AI Platform Projects - Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. - Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. Track 2: Distributed Inference & Systems Optimization - Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale. - Optimize our inference engine to serve millions of QPS at low latency. - Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability. You Have - Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas. - Built end-to-end ML pipelines and managed model inference and deployment. - Experience with novel datasets, and building real-world agentic applications. - Scaled high-performance, high-availability architectures. - Handled infrastructure using Kubernetes and major cloud providers (AWS, Azure, or GCP). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
[2026] Senior Machine Learning Engineer (Systems),...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Team - Creator Services Machine Intelligence Team : The Machine Intelligence team is building an NPC system that can (1) play any Roblox game and (2) perform real-time inference efficiently enough to support deployment to all Roblox players. - ML Platform Team : The Foundation AI Group is on a mission to establish Roblox as the standard for 3D foundational models (3DFMs), democratizing creation by making it simple for anyone to generate high-quality, immersive 3D experiences using AI. The AI Platform team is a foundational part of this vision, supporting hundreds of ML use cases and billions of inferences daily across Discovery, Safety, Engine, and more. We are seeking exceptional PhD new graduates to drive innovation across three critical areas: AI Platform, Distributed Inference Systems. What You Will Do As a Senior Machine Learning Engineer, you will be a key contributor to building the cutting-edge systems that power AI at Roblox. Creator Services Machine Intelligence Team - Develop Scale Data Pipelines: Design, build and maintain robust data pipelines to collect complex 3D game states and real-time player actions across the platform. - Train Novel Architectures: Solve the feature extraction across games for NPC model in a general and scalable way and drive model training speed for novel, sophisticated deep learning architectures. - Optimize Real-Time Inference: Engineer high-performance model inference solutions to support the seamless deployment of 10s to 100s of autonomous NPCs in real-time environments. ML Platform Team Track 1: AI Platform Projects - Pioneer next-generation AI tooling to enhance the efficiency, cost, and usability of ML@Roblox. - Build and maintain core platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Design great developer experiences (paved-road templates, tooling, visualizations) to reduce time-to-production and ensure foundational AI systems are scalable and reliable. Track 2: Distributed Inference & Systems Optimization - Architect and implement scalable distributed inference systems for efficiently serving LLMs and Large Recommender Models at massive scale. - Optimize our inference engine to serve millions of QPS at low latency. - Conduct deep, low-level performance analysis and optimize ML models (using techniques like continuous batching, speculative decoding, and quantization) and systems on GPU architectures to maintain peak performance and stability. You Have - Possessing or pursuing a Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or a related technical field, with a thesis aligned to Roblox’s research areas. - Built end-to-end ML pipelines and managed model inference and deployment. - Experience with novel datasets, and building real-world agentic applications. - Scaled high-performance, high-availability architectures. - Handled infrastructure using Kubernetes and major cloud providers (AWS, Azure, or GCP). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
[2026] Senior Machine Learning Engineer, Recommend...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Recommendation Systems are a key growth lever at Roblox, driving retention, engagement, and monetization for hundreds of millions of users. This role offers the unique opportunity to redefine how users search and discover everything from the most interesting immersive experiences and digital avatars in our Marketplace to personalized advertising. You will solve a diverse range of high-scale ranking, retrieval, and personalization problems across our platform. We combine cutting-edge research —including deep learning, generative AI, and reinforcement learning techniques— with large-scale engineering to bridge experimentation and production; you'll design algorithms that operate at massive scale and shape the next generation of recommender systems for user-generated content. Teams Hiring for This Role - Search and Discovery: powers major recommendation surfaces—conducting cutting-edge research in generative modeling, multimodal and MLLM technologies, designing advanced agentic AI algorithms to solve business requirements while achieving technical breakthroughs. - Safety, Alt Defense: architects a massive-scale detection engine that identifies recidivist bad actors across billions of accounts to ensure the long-term integrity of the Roblox community. You Will - Design and implement large-scale recommendation systems that power discovery across Roblox’s surfaces — experiences, avatars, and creator content. - Develop deep learning models for ranking, retrieval, and personalization using approaches in multimodal models, LLMs, and generative AI. - Collaborate with applied researchers, engineers, and product teams to advance experimentation and accelerate innovation. - Translate research into production systems that impact hundreds of millions of daily active users. - Work backward from user and product needs to deliver ML solutions that drive engagement, retention, and ecosystem growth. You Have - Possessing or pursuing a PhD in computer science, engineering, or a related field, with a thesis aligned to Roblox’s research areas. - Expertise in one or more areas: recommender systems, search systems, information retrieval, or generative models (e.g., LLMs, VLMs, VLAs) - Ability to design and architect systems for efficient personalization and user interest modeling using advanced attention mechanisms (e.g., sparse/linear attention). - A strong research track record, evidenced by multiple publications and presentations in top-tier, peer-reviewed venues (e.g., SIGIR, KDD, RecSys, ICLR, ICML, NeurIPS) - Proficiency in one or more programming languages (e.g., Python, C++, Go, Java) and experience building and optimizing large-scale systems. Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. As you apply, you can find more information about our process by signing up for Speak_. You'll gain access to our practice assessment, comprehensive guides, FAQs, and modules designed to help you ace the hiring process. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $195,780 - $242,100 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
[2026] Data Scientist, Social
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Data Science & Analytics? The Data Science & Analytics organization’s mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers. Why Social at Roblox? Roblox is a highly social platform hosting billions of user connections, and we are actively building a diverse suite of social products to nurture engaging experiences. In this role, you will partner with our Social Connections team to identify opportunities for growing user connections, facilitating co-experiences, and enhancing social content discovery. You will leverage your technical expertise and analytical skills to design experiments, formulate product strategies, and conduct research to gain deeper insights into the Roblox social network, utilizing the latest AI capabilities. Additionally, you will contribute to communications, social sharing, and community features while collaborating with cross-functional verticals such as Discovery, Safety, and Creator. This role reports directly to Senior Data Science leadership and involves close collaboration with our Director of Product and Senior Engineering/Design leadership. You Will: - Design, execute, and analyze A/B tests to measure the impact of new features and inform product decisions. - Architect and build robust data pipelines to support analytics, reporting, and modeling needs. - Conduct deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems. - Contribute to the team's science roadmap by identifying key areas for analysis and experimentation. You Have: - Possess or pursuing a PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field, OR a Master’s degree with 2+ years of experience - Expertise in SQL and experience using scripting languages for data analysis (e.g., Python, R). - Proficiency in developing data pipelines and working with big data technologies (e.g., Spark, Hive, Airflow). - Strong experience in experimental design (A/B testing), casual inference and other statistical techniques. - A proven track record of translating complex data into actionable insights and communicating them to stakeholders. - Experience in working with LLM / Agentic flows is a plus. Apply now to be considered for anticipated positions. You may redact age, date of birth, and dates of attendance/graduation from your resume if you prefer. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $185,860 - $221,380 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
LLM Game Designer
LLM Game Designer at welevel GmbH. German games industry role. Company category: Developer. Job category: Game / Level Design. Job type: Full-Time. Added: 06.06.2026.
Senior Unreal AI Developer
Senior Unreal AI Developer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.
Machine Learning Engineer - H/F/NB
Description de l'entreprise Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu ! Studio pionnier d’Ubisoft, le studio de Paris est à l’origine des premiers succès de l’éditeur suite à sa création en 1992. Il est aujourd’hui à la tête de licences incontournables comme Just Dance, Ghost Recon ou Mario + The Lapins Crétins. Ubisoft Paris s’est également construit une solide réputation comme partenaire de choix dans les collaborations inter-studios comme Watch Dogs, Skull & Bones, Beyond Good & Evil 2 ou encore Star Wars. Fort de cette expérience, le studio continue d’aller plus loin en termes de créativité en travaillant sur des projets très prometteurs encore non-annoncés. Regroupant 750 talents de 35 nationalités, Ubisoft Paris est aujourd’hui le plus grand studio de France et l’un des plus expérimentés de l’industrie. Les jeunes talents peuvent bénéficier de la présence importante de profils seniors, dans les métiers créatifs, techniques ou artistiques. Chacun·e reste animé·e par la même passion : repousser les limites du possible et proposer de nouvelles expériences à nos joueurs et joueuses. Prêt·es à rallier l’aventure ? Rejoignez-nous au Studio de Paris ! Description du poste En nous rejoignant sur ce poste, vous intégrerez une équipe multidisciplinaire (data, programmation, game & narrative design, animation, etc.), guidée par une question simple et ambitieuse : parmi toutes les possibilités offertes par l’IA générative, lesquelles sont réellement intéressantes et fun pour le gameplay ? L’équipe a pour mission de tester de nouvelles expériences auprès de joueurs et joueuses, et d’équiper les créateur·rices pour imaginer des interactions plus dynamiques, immersives et surprenantes — jusqu’à faire émerger des features impossibles à réaliser autrement. Son quotidien s’inscrit à la croisée de la R&D, du développement produit, de la création de jeux courts et de la collaboration multi-studios, au service des gameplays de demain. Au sein de l’équipe responsable de l’analyse des données et des projets data science, détachée dans une production de jeu vidéo, vous apportez vos connaissances en Machine Learning et en analyse de données en général aux équipes de développement afin d’exploiter le potentiel de l’Intelligence Artificielle au sein du design de nos jeux. Vos missions seront les suivantes : - Contribuer à la faisabilité technique des systèmes gameplay basés sur l’IA. - Identifier des algorithmes pertinents (génératifs, information retrieval, classification…) et les adapter pour un usage production (fine-tuning, optimisation, intégration). - Mettre en place les processus d’évaluation pertinents - Déployer ces algorithmes sur des cloud internes ou externes de manière robuste et scalable, en suivant les meilleurs pratiques en terme de développement et de MLOps, en collaboration avec les ingénieurs du projets - Implémenter des techniques à partir de papiers de recherche dans une démarche d'innovation/R&D Qualifications - Vous disposez d’une première expérience significative en tant que Machine Learning Engineer et avez mis en production différents algorithmes de Generative AI, - Vous avez une connaissance poussée des algorithmes de NLP (comme SentenceBERT, Llama 2, Mistral ou Qwen 3) et vous savez les fine-tuner, - Vous avez une bonne maitrise de Python et de Tensorflow ou PyTorch, - Vous avez une première expérience avec Docker, - Le jeu vidéo est une passion pour vous, - Votre très bonne capacité d’écoute et de compréhension vous permet de traduire facilement les besoins des clients en spécifications, - Vous êtes en mesure d’adapter vos analyses et votre discours pour atteindre un large public, - Vous faites preuve d’autonomie et de curiosité. - Enfin, votre aisance en anglais vous permet d’échanger à l’écrit comme à l’oral avec des interlocuteurs variés. Ce sont des + : - Vous avez une bonne maitrise du C++, C# ou Rust - Vous savez comment utiliser des LLM (du prompt engineering aux approches plus complexes comme Tree of Thoughts) - Vous savez comment optimiser la taille et le temps d’inférence des modèles (ex : quantization, LoRA…) Vous avez une affinité avec les jeux de rôle, les jeux narratifs... Informations supplémentaires Nous rejoindre c’est avoir accès dès le premier jour à : - Notre plateforme interne de e-learning pour enfin vous former sur les outils dont vous aviez tant besoin ; - Notre ludothèque où vous pourrez emprunter les derniers jeux Ubisoft, ceux de la concurrence, consoles et jeux de sociétés ; - Notre CSE et ses tarifs préférentiels sur une large gamme de spectacles, salles de cinéma, concerts, salles de sport, parcs d’attractions, et pleins d’autres bons plans. Et après 1 an ? - Vous avez un plan de carrière et d’évolution établis avec votre manager ainsi que des objectifs clairs qui vous permettront de progresser chaque année ; - Vous avez rejoint un de nos clubs : chorale, yoga, tennis, sabre laser… Ou vous avez créé le vôtre ! - Vous profitez de votre pause déjeuner d’1h30 pour participer à un cours dans notre salle de sport ou emprunter un de nos vélos pour vous balader dans le bois de Vincennes ; - Vous attendez avec impatience le prochain week-end surf/yoga ou ski organisé par le CSE ; - Vous êtes devenu·e imbattable au babyfoot, à l’escalade, Just Dance ou à Boomerang Fu ; - Vous avez dévalisé la braderie interne pour compléter votre collection de goodies et jeux Ubi (parce qu’on n’en a jamais assez). En tant qu’employeur, Ubisoft offre à tous les mêmes opportunités d’accès à l’emploi, sans distinction notamment de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d’âge. Ubisoft veille à développer un environnement de travail inclusif qui reflète la diversité de sa communauté de joueurs dans ses équipes. Consultez ce guide qui a pour but de vous accompagner dans votre candidature, et découvrez nos actions pour encourager plus de diversité et d'inclusion.
AI Systems Engineer
AI Systems Engineer at welevel GmbH. German games industry role. Company category: Developer. Job category: Tech / Programming. Job type: Full-Time. Added: 06.06.2026.
Manager I, Applied AI - Distilled Models
Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds specialized models that replace frontier models where they are not necessary, making AI capabilities faster, cheaper, and more secure. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As a Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do - Lead and develop a team of engineers and applied scientists focused on cost-efficient specialized models and AI security capabilities - Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage - Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality - Navigate the unique challenges of shipping AI-powered products: balancing quality, latency, cost, and safety considerations. Drive evaluation and iteration practices for AI systems: define the quality bar and guide the team in building the offline and online evaluation pipelines needed to measure quality and detect drift - Contribute to cross-team collaboration and knowledge sharing across the broader AI organization - Support career growth for engineers through coaching, feedback, and fostering a culture of experimentation, innovation, and learning. Participate in hiring and help shape the future team as the organization grows Who You Are - A people-focused manager with experience leading and mentoring engineers, able to develop strong engineering talent in a fast-moving domain - A technical leader with deep expertise in one or more areas of AI or machine learning: large language models, retrieval-augmented generation (RAG), semantic search, agentic systems, deep learning, or NLP - Well-versed in evaluation methodologies for AI systems, both offline benchmarks and online metrics - A strong product instinct: able to anchor early-stage work in concrete customer problems, define success criteria before writing code, and actively contribute to shaping product direction alongside product and research partners - Experience taking AI products from 0 to 1 is strongly valued: able to bring structure to early-stage work by scoping clear hypotheses, moving quickly toward signal, and making deliberate decisions about what to pursue, pivot, or stop - BS/MS/PhD in M
Treasury Finance AI and Quantitative Analytics, Am...
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 At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe's financial capabilities. As part of Treasury Finance's AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, quantitative reasoning, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. What you’ll do Within Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities - Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve complex treasury challenges - Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations - Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time treasury insights and actionable intelligence - Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows - Develop targeted observability and performance analytics for core treasury workstreams, providing key insights to senior leadership - Leverage heterogeneous and unstructured data to develop business insights and recommendations - Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure for core treasury workstreams Who you are We're looking for a technical problem-solver with treasury, quantitative reasoning, and finance expertise who's excited about leveraging artificial intelligence and who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field with 6–8 years of work experience in software development, data science, or treasury and finance roles - Working familiarity with financial risk and capital markets concepts - Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow - Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems - Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI - Results-oriented, with a focus on delivering impact in a fast-paced environment - Excellent communication skills for collaborating with finance, product, and engineering teams - Highly organized, with attention to detail and the ability to manage tight deadlines Preferred qualifications - Familiarity with the payments industry and fintech landscape - Experience with Databricks and cloud platforms (AWS, GCP, Azure) - Good understanding of development processes and best practices across engineering standards, code reviews, and testing
Senior C++ Programmer - Machine Learning
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 We are looking for a Senior C++ Programmer to play a key role in building cutting-edge applications powered by Machine Learning. The role of the senior C++ Programmer with experience in AI/ML is to bring best practices and robust design principles, helping us deliver on an ambitious and innovative roadmap. What you'll do Main responsibilities: - Provide and support ML systems based on business requirements and objectives. - Develop, integrate, and maintain inference engines, ML libraries, and frameworks. - Leverage the best hardware (NPU, GPU, CPU) to accelerate ML-related computations. - Build systems to evaluate, optimize, and measure model performance. - Integrate and maintain ML systems within game engines and games. - Write unit tests and integration tests. - Collaborate with the data science team, specialized programmers (gameplay, AI, etc.), the research team, and other stakeholders such as production teams. - Write clear and structured code that meets performance, maintainability, modularity, scalability, and compatibility requirements. Other responsibilities: - Create proof-of-concepts, which may involve model training, fine-tuning, and experimenting with different techniques and architectures. - Suggest improvements when needed by designing and implementing new systems or enhancing existing ones. - Conduct research to stay up to date with the latest advancements. - Prepare documentation, presentations, and knowledge-sharing materials to communicate complex AI concepts to both technical and non-technical collaborators. Qualifications What you bring Education: - Bachelor’s degree in computer science or computer engineering or equivalent. - A master’s degree in Machine Learning or any other relevant field is a strong asset. Relevant Experience: - Minimum 10 years of experience in C++ programming. - Minimum 5 years of experience in AI/ML. Core Skills: - In-depth knowledge of C++ required. - Strong architecture skills. - Good understanding of hardware to leverage multithreading and optimize memory management. - Solid knowledge of machine learning and deep learning fundamentals. Other Skills: - Proficiency in Python is an asset. - Experience working with game engines is an asset.
AI Engineer
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 Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability. We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day. What You'll Do As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default. You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too. This is a role for someone who wants to work at the intersection of engineering and business impact—close to customers, close to revenue, and building for people you can see using your work every day. Responsibilities - Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables - Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage—not for novelty, but for measurable productivity improvement - Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock - Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions - Identify patterns across SA workflows and proactively build solutions that address recurring friction - Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements - Document tools, architectures, and usage patterns so others can adopt and extend what you've built - Debug, extend, and maintain backend systems across a variety of codebases and infrastructure Minimum Requirements - 4+ years of experience as an engineer shipping producti
Senior AI Game Designer [Tom Clancy's The Division...
Company Description Massive Entertainment is a world-renowned AAA game development studio with offices in Malmö and Stockholm, and a proud part of the Ubisoft family. Our diverse and talented team of around 600 professionals hails from more than 50 countries, all driven by a shared passion for crafting memorable gaming experiences. At Massive, we are committed to pushing the boundaries of creativity and technology, currently leading projects such as Tom Clancy’s The Division 3, Tom Clancy’s The Division 2 and Tom Clancy’s The Division 2: Survivors. We're also at the forefront of tech innovation, developing our proprietary Snowdrop engine, which powers many of Ubisoft’s flagship titles, and contributing to Ubisoft Connect, Ubisoft's digital ecosystem and distribution platform. Join us, and you'll have the opportunity to do what you love while shaping the future of interactive entertainment. Job Description In 2023, it was announced that Massive Entertainment is leading the development of Tom Clancy's The Division 3. While we cannot unveil any details about the third entry in the series at this time, we are actively recruiting for the project. We are looking for an experienced AI Designer, to join one of Massive Entertainment’s exciting IPs. In this role, you'll collaborate closely with design leads, directors, and multidisciplinary teams to deliver high-quality enemy NPCs that elevate a world-class combat experience. What you'll do - Working closely with design leads and combat designers to conceptualize and refine NPC archetypes aligned with the core combat loop vision - Implementing and refining high-quality combat NPC behaviors using node graphs and behavior trees. - Working directly in the Snowdrop game engine to script, tweak, and fine-tune NPCs, while contributing to the continuous improvement of NPC-related tools and workflows. - Partnering with Tech, Art, and World teams to create combat NPCs that elevate the combat experience and to maximize their potential across all content. - Collaborating with production and leads across disciplines to plan tasks, assess risks, and manage scope effectively. - Continuously iterate on NPCs based on playtest feedback, in service of improving the overall combat experience. Qualifications What you'll bring - Proven game development experience in the shooter genre, with a strong preference for 3rd-person shooters on shipped titles. - Demonstrated expertise in designing humanoid enemy NPCs. - Proficiency with node-based tools for game development. - Extensive hands-on experience with behavior trees. - Strong ability to collaborate effectively with multidisciplinary teams toward a shared vision or goal. - Comprehensive understanding of iterative development processes and rapid prototyping methodologies. Nice to have - Strong familiarity with The Division games. Additional Information 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! You can also find a summary of the Massive Job Perks here. Questions? We're more than happy to answer them! Please contact Moa Sellin Ödling Talent Acquisition Partner for this position All your application information will be kept confidential according to EEO & GDPR guidelines.
Software Engineer, Machine Learning Infrastructure
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 Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure. What you’ll do You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company. Responsibilities - Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. - Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. - Working directly with product teams and ML engineers to improve their day-to-day productivity. - Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies. Who you are We’re looking for people with a strong background or interest in building successful products or systems; you’re passionate about solving business problems and making impact, you are comfortable in dealing with lots of moving pieces; and you’re comfortable learning new technologies and systems. You are comfortable working with other Stripe teams across the US and Canada. Minimum requirements - 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems - Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations - Experience working on production ML platforms, MLOps solutions, or building LLM applications - Experience running operations for high availability, low latency systems - Experience partnering with other teams to drive business outcomes - A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course Preferred qualifications - Experience building and shipping production AI agents - Familiarity with the LLMs and LLM Frameworks - Experience training and shipping machine learning models to production to solve critical business problems
Senior Customer Engineer, Named - Charlotte, NC
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations - Charlotte, NC About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Customer Adoption & Value Realization: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Desirable Skills, Knowledge, and Experience - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, enterprise architecture, and modern developer platforms (serverless, edge computing, API-driven workflows). - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Bonus Points - Cloudflare AI Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits - Medical/Rx Insurance - Dental Insurance - Vision Insurance - Flexible Spending Accounts - Commuter Spending Accounts - Fertility & Family Forming Benefits - On-demand mental health support and Employee Assistance Program - Global Travel Medical Insurance Financial Benefits - Short and Long Term Disability Insurance - Life & Accident Insurance - 401(k) Retirement Savings Plan - Employee Stock Participation Plan Time Off - Flexible paid time off covering vacation and sick leave - Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Site Reliability Engineer – AI Applications (M/W/X...
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! Job Description At Ubisoft, we are reshaping how teams work with information through AI. We build and operate applications for document-rich, interactive, and intelligent use cases, including hybrid search, question answering, document generation, conversational assistants, agentic workflows, and coding assistants. You will join the team responsible for the reliability, scalability, and operational excellence of the AI platform powering these experiences. This includes the AI Gateway, MCP servers, LLM serving infrastructure, retrieval services, and the surrounding platform components that help teams bring AI applications to production safely. This role sits at the intersection of fast-moving AI engineering and disciplined site reliability engineering. You will help the platform evolve quickly while ensuring it remains observable, resilient, cost-efficient, and dependable at scale. Responsibilities - Operate and improve the reliability, scalability, and performance of the AI platform, including the AI Gateway, MCP servers, LLM serving, retrieval services, and related platform components. - Define and maintain SLOs, SLIs, and error budgets to guide reliability decisions and balance delivery speed with platform stability. - Build strong observability across infrastructure, services, and AI-specific signals, such as latency, token throughput, model/provider errors, cost, saturation, and quality indicators. - Improve the performance, efficiency, and cost profile of model and API serving across cloud, containerized, and high-throughput environments. - Design graceful degradation, fallback, and failover strategies, including model, provider, and region-level resilience patterns. - Maintain safe, repeatable deployment practices using GitLab CI/CD, infrastructure as code, automated testing, and progressive delivery where appropriate. - Lead or contribute to incident response, post-incident reviews, capacity planning, and reliability improvements. - Partner closely with software engineers, data scientists, ML engineers, security teams, and product stakeholders to productionize AI services responsibly. - Help establish operational standards, runbooks, dashboards, and best practices for AI application reliability. Qualifications Must-Have - Proven experience in SRE, platform engineering, backend engineering, or infrastructure roles in compute-intensive, data-intensive, or distributed environments. - Strong understanding of reliability engineering practices, including SLOs, error budgets, observability, capacity planning, incident management, and post-incident analysis. - Strong programming skills in Python and practical experience with Rust, or a willingness to work deeply with Rust-based services. - Hands-on experience with cloud platforms, Docker, Kubernetes, and production-grade service operations. - Experience building and maintaining CI/CD pipelines, preferably with GitLab, and working with infrastructure as code. - Solid understanding of distributed systems, microservices, APIs, networking fundamentals, and production debugging. - Ability to move quickly in a fast-changing AI ecosystem while applying the rigor, discipline, and risk awareness expected from an SRE. - Clear communication skills and the ability to collaborate across engineering, data, ML, security, and product teams. Nice-to-Have - Experience operating AI infrastructure, such as AI gateways, MCP servers, LLM serving stacks, model routers, or provider abstraction layers. - Familiarity with RAG and agentic architectures, including embeddings, vector databases, hybrid search, query processing, tool use, and agent orchestration. - Experience with GPU-backed inference, high-throughput serving, batching, caching, autoscaling, or model performance optimization. - Experience with serverless, event-driven systems, queues, streaming platforms, or asynchronous processing. - Familiarity with AI safety, governance, auditability, data privacy, or secure-by-design platform practices. - Open-source contributions, technical writing, talks, or publications in relevant engineering, reliability, or AI infrastructure fields. Additional Information You will work on projects that shape the future of AI at Ubisoft. You will stay close to emerging AI infrastructure and reliability practices, influence how we operate AI platforms at scale, and help teams deliver useful, safe, and dependable AI-powered applications. Ubisoft's perks 💰 Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your transportation pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks. 👶 Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks. 📍 Our office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. Information about Ubisoft Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers’ community.
Technical Program Manager - AI initiatives
Company Description Ubisoft is a global leader in video games, with teams around the world creating original and memorable experiences through franchises such as Assassin’s Creed, Rainbow Six, Just Dance, and many more. We believe that diverse perspectives enable both players and teams to thrive. If you are passionate about innovation and want to push the boundaries of entertainment, join us in creating the unknown! Job Description As a Technical Program Manager (TPM) within the AI Initiatives team , you will fill a unique, dual-faceted role that bridges the gap between hands-on AI engineering and high-level program management. Reporting directly to the VP of AI Initiatives, you will act as a force multiplier for our AI capabilities across the entire company. This is not a traditional, spreadsheet-only PM role. You will be a practitioner who "vibe codes" and builds alongside teams, while simultaneously engineering the scaffolding, tools, and processes that provide visibility, structure, and monitoring across our entire AI portfolio. The Dual Scope of the Role 1. The "Forward Deployed" Task Force (Embedded Builder) You will embed directly with various internal product and business teams to help them scope, build, and deploy concrete AI use cases that tangible improve our services and products. - The TPM Angle: Provide structure, rigorous monitoring, and clear visibility over the embedded initiatives from inception to delivery. - The Practitioner Angle: ctively participate in the building process (utilizing AI-assisted development and "vibe coding") to accelerate use case delivery and rapidly iterate on our internal tools. 2. Transversal Platform & Program Engineering (The Enabler) You will leverage your unique, boots-on-the-ground perspective from the forward-deployed task force to build global systems for the entire AI Initiatives team (including our product and platform tech teams). - Systemic Visibility: Design, build, and maintain the tools and frameworks that track, monitor, and provide transversal visibility into all AI projects across the company. - Feedback Loop: Use your first-hand experience as an embedded practitioner to inform and improve our internal AI platforms, ensuring our infrastructure meets the real-world needs of our engineering teams. Key Responsibilities - Program Architecture & Delivery: Define milestones, manage dependencies, and track the health of multiple concurrent AI initiatives without introducing unnecessary bureaucracy. - Hands-on Prototyping: Use modern AI development tools and LLM orchestration to help teams prototype and build AI features quickly. - Tooling & Observability: Build and implement dashboards, tracking mechanisms, and internal tools that give the VP and broader leadership a real-time view of AI adoption, performance, and ROI. - Cross-Functional Alignment: Act as the connective tissue between embedded business teams, the AI platform team, and executive leadership. Qualifications - Proven experience in Technical Program Management, experience managing multiple concurrent technical initiatives in a fast-paced environment. - Practical exposure to LLM-based systems, prompt workflows, or AI application development, would be a plus - Prefer working on AI-assisted development tools (“vibe coding”), rapid prototyping, and collaborating closely with engineers in code-adjacent workflows. - Experience designing program-level visibility frameworks, including dashboards, metrics, and monitoring systems to track delivery health, adoption, and business impact. - Strong execution mindset - Ability to collaborate and influence engineering, product, and business teams Additional Information Ubisoft Benefits 💰 Profit-sharing and an annual company savings plan. 25 days of paid vacation + 12 additional RTT days. 🎁 50% reimbursement of your Navigo pass, meal vouchers (€9/day), health insurance for you and your family, as well as many additional Ubisoft benefits. 👶 20 weeks of maternity leave, 7 weeks of paternity/co-parental leave. 📍 Our brand-new offices are located in Saint-Mandé (Metro line 1, Saint-Mandé station). A gym is available in the building. Recruitment Process - [45 min; remote] – Interview with a Talent Acquisition Specialist - [60 min; remote] – Interview with the hiring manager + key stakeholder - [60 min; remote] – Interview with Key Stakeholder Skills and abilities can be expressed in different ways and may be built through a variety of experiences. That’s why we strongly encourage you to apply, even if you do not meet all of the criteria listed above. Ubisoft is an equal opportunity employer. We welcome applications from all individuals regardless of gender, background, religion, sexual orientation, social status, disability, or age. Ubisoft is committed to fostering an inclusive work environment that reflects the diversity of its player community.
Data Scientist - H/F/NB
Company Description Ubisoft est une référence mondiale du jeu vidéo, avec des équipes réparties aux quatre coins du monde qui créent des expériences de jeu originales et mémorables, de Assassin’s Creed à Rainbow Six en passant par Just Dance et bien d’autres encore. Nous croyons que la diversité des points de vue fait progresser à la fois les joueurs et les équipes. Si vous êtes passionné·e par l’innovation et que vous souhaitez repousser les limites du divertissement, rejoignez notre aventure et aidez-nous à créer l’inconnu ! Studio pionnier d’Ubisoft, le studio de Paris est à l’origine des premiers succès de l’éditeur suite à sa création en 1992. Il est aujourd’hui à la tête de licences incontournables comme Just Dance, Ghost Recon ou Mario + The Lapins Crétins. Ubisoft Paris s’est également construit une solide réputation comme partenaire de choix dans les collaborations inter-studios comme Watch Dogs, Skull & Bones, Beyond Good & Evil 2 ou encore Star Wars. Fort de cette expérience, le studio continue d’aller plus loin en termes de créativité en travaillant sur des projets très prometteurs encore non-annoncés. Regroupant 750 talents de 35 nationalités, Ubisoft Paris est aujourd’hui le plus grand studio de France et l’un des plus expérimentés de l’industrie. Les jeunes talents peuvent bénéficier de la présence importante de profils seniors, dans les métiers créatifs, techniques ou artistiques. Chacun·e reste animé·e par la même passion : repousser les limites du possible et proposer de nouvelles expériences à nos joueurs et joueuses. Prêt·es à rallier l’aventure ? Rejoignez-nous au Studio de Paris ! Job Description En nous rejoignant sur ce poste, vous intégrerez une équipe multidisciplinaire (data, programmation, game & narrative design, animation, etc.), guidée par une question simple et ambitieuse : parmi toutes les possibilités offertes par l’IA générative, lesquelles sont réellement intéressantes et fun pour le gameplay ? L’équipe a pour mission de tester de nouvelles expériences auprès de joueurs et joueuses, et d’équiper les créateur·rices pour imaginer des interactions plus dynamiques, immersives et surprenantes — jusqu’à faire émerger des features impossibles à réaliser autrement. Son quotidien s’inscrit à la croisée de la R&D, du développement produit, de la création de jeux courts et de la collaboration multi-studios, au service des gameplays de demain. Dans le cadre de ce poste, vous rejoindrez une équipe développant un produit technologique favorisant l'intégration de l’IA au sein des fonctionnalités de nos jeux. Au sein de nos studios de production, vous pourrez apporter vos connaissances en Data Science afin de construire des expériences de jeux uniques. Missions Au sein de l’équipe du produit technologique intégrant l’IA générative dans nos gameplays, vous apportez vos connaissances en Data Science et Machine Learning afin de prototyper et modéliser des solutions permettant la création de nouvelles expériences de jeu: - Identifier des objectifs en fonction des spécifications partagées par les équipes de design et à travers l’analyse des données joueurs et définir des protocoles d’évaluation - Concevoir des prototypes et entrainer des modèles pour répondre à ces objectifs - Collaborer avec les Machine Learning Engineers pour transférer les prototypes et définir les critères de succès en vue de leur intégration. - Collaborer avec les designers pour analyser les comportements de vos IA et identifier des pistes d’améliorations du jeu. - Identifier les opportunités d’expérimentation et d’innovation. - Communiquer sur vos travaux et vos résultats de façon pédagogique pour un public varié. Qualifications - Vous disposez au moins d’une première expérience significative en tant que Data Scientist, durant laquelle vous avez pu mener des projets sur des produits interactifs (jeux, apps, systèmes temps réel …), - Vous avez une bonne maitrise de Python ainsi que Tensorflow ou PyTorch (avoir une expérience en pyspark est un +), - Vous disposez de solides bases en statistiques et méthodes d’évaluation (analyse exploratoire, tests statistiques, A/B testing), - Vous êtes à l’aise avec l’analyse de données complexes et séquentielles issues de systèmes interactifs et avez de bonnes connaissances des LLM , - Vous êtes une personne dotée d’une bonne capacité d’écoute, de compréhension et vous savez traduire les besoins des clients en spécifications , - Vous faites preuve d’autonomie et de curiosité et avez un véritable intérêt pour le jeu vidéo. - Enfin, votre maîtrise de l’anglais vous permet d’être à l’aise dans les échanges écrits et oraux avec des interlocuteurs de différents pays. Additional Information Nous rejoindre c’est avoir accès dès le premier jour à : - Notre plateforme interne de e-learning pour enfin vous former sur les outils dont vous aviez tant besoin ; - Notre ludothèque où vous pourrez emprunter les derniers jeux Ubisoft, ceux de la concurrence, consoles et jeux de sociétés ; - Notre CSE et ses tarifs préférentiels sur une large gamme de spectacles, salles de cinéma, concerts, salles de sport, parcs d’attractions, et pleins d’autres bons plans. Et après 1 an ? - Vous avez un plan de carrière et d’évolution établis avec votre manager ainsi que des objectifs clairs qui vous permettront de progresser chaque année ; - Vous avez rejoint un de nos clubs : chorale, yoga, tennis, sabre laser… Ou vous avez créé le vôtre ! - Vous profitez de votre pause déjeuner d’1h30 pour participer à un cours dans notre salle de sport ou emprunter un de nos vélos pour vous balader dans le bois de Vincennes ; - Vous attendez avec impatience le prochain week-end surf/yoga ou ski organisé par le CSE ; - Vous êtes devenu·e imbattable au babyfoot, à l’escalade, Just Dance ou à Boomerang Fu ; - Vous avez dévalisé la braderie interne pour compléter votre collection de goodies et jeux Ubi (parce qu’on n’en a jamais assez). En tant qu’employeur, Ubisoft offre à tous les mêmes opportunités d’accès à l’emploi, sans distinction notamment de genre, ethnicité, religion, orientation sexuelle, statut social, handicap et d’âge. Ubisoft veille à développer un environnement de travail inclusif qui reflète la diversité de sa communauté de joueurs dans ses équipes.
AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is looking for an experienced AI Programmer to join the Fortnite Battle Royal AI team. We believe that the best gameplay experiences are driven by collaboration and iteration between gameplay programmers, designers, and artists. You will play a critical role in driving future gameplay AI features in Fortnite. In this role, you will - Work closely with art and design to create and iterate on gameplay AI features - Experiment with game design and use rapid prototyping while ensuring that strong structural and algorithmic decisions are made - Drive, build and maintain core AI systems in the Fortnite AI ecosystem - Collaborate with engine AI developers to improve AI systems - Ensure high-quality user experiences across all platforms we support - Optimize and fix bugs in existing gameplay AI systems What we're looking for - Experience developing games professionally, and shipping AAA titles with AI experience - Experience working with AI systems (Behavior Trees, Finite State Machine, Pathfinding, etc.) - Strong C++ skills and the ability to code and design AI gameplay mechanics and tools - Well-versed in games and the ability to articulate what is strong/weak about the design of existing games (an interest in online games is preferred) - Excellent communication and interpersonal skills - Experience working on a live service game is a plus - Self-motivated, strong work ethic, and able to work independently - Creativity in problem-solving and the ability to think outside of the established solutions EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Staff Materials Research Scientist, PFAS Alternati...
ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. THE OPPORTUNITY Introduction to the team: The PFAS team sits within SandboxAQ's Chemical Simulation (ChemSim) group. Our mission is to develop PFAS-lean or PFAS-free substitutes and formulations for semiconductor process and fab materials that meet both performance specifications and environmental and safety requirements in complex semiconductor manufacturing environments. We combine generative ML, physics-based simulation (e.g. DFT and molecular dynamics), Large Quantitative Models for property prediction, and multi-scale modeling with a partner-driven experimental validation loop — working alongside industrial co-development partners to move candidate molecules from prediction to qualified use. Introduction to the role: The PFAS team is looking for a Staff Materials Research Scientist to serve as the scientific bridge between our generative chemistry discovery workflow and the external partners who validate our candidate molecules. This role is central to our efforts to ensure that the compounds our AI-driven workflow proposes are directionally correct, appropriate for the target semiconductor use case, and grounded in real manufacturing constraints. This person will: (1) own the partner-facing validation loop — serving as the primary point of contact with our co-development partners on problem definition, target specifications, constraints, and qualification criteria; (2) run our generative chemistry workflow, assess the predicted compounds, and rank them by fitness for the use case to deliver decision-ready shortlists for partner validation; (3) translate experimental feedback from partners into concrete technical improvement points that the rest of the team members can act on; and (4) bring semiconductor domain judgment to bear on the whole pipeline, deciding whether workflow outputs are qualitatively and directionally accurate and validating lead molecules against process reality. See how SandboxAQ is helping build America's semiconductor supply chain from the materials up https://www.sandboxaq.com/post/sandboxaq-helping-build-americas-semiconductor-supply-chain KEY RESPONSIBILITIES - Own the partner validation loop. Serve as the primary scientific point of contact between the PFAS team and external co-development partners (e.g. chemical and process-materials suppliers, semiconductor equipment makers, and control/sensor companies), translating partner problems into well-posed target specifications, constraints, and qualification criteria. - Run the discovery workflow and rank candidates. Operate SandboxAQ's generative chemistry discovery workflow for assigned PFAS-substitution use cases; assess the predicted compounds for chemical plausibility and use-case fit, and rank them to produce decision-ready shortlists that partners can take into experimental validation. - Apply semiconductor domain judgment. Evaluate whether generative and simulation outputs are directionally and qualitatively correct for the target application, and validate lead molecules against real-world semiconductor process, performance, and EHS constraints. - Close the experimental feedback loop. Translate partner validation results and experimental data into specific, actionable technical improvement points for the rest of the team, and follow their incorporation through successive design cycles. - Align targets across internal teams. Partner closely with internal dataset, computational chemistry, machine-learning, and generative-modeling teams to keep property targets, screening oracles, and reward objectives aligned with partner-defined qualification criteria. ESSENTIAL SKILLS & EXPERIENCE - PhD in Chemistry, Chemical Engineering, Materials Science, or a related field, with deep specialization in semiconductor process materials and/or fluorochemistry. - 6+ years of post-PhD experience (or equivalent) in industrial or applied R&D developing, formulating, or qualifying semiconductor process chemicals — including direct, hands-on experience discovering or evaluating PFAS-lean/PFAS-free alternatives for semiconductor manufacturing and adjacent materials (e.g., wet-etch/clean chemistries, lithography materials, heat-transfer fluids, or data-centre/immersion cooling fluids). - Working knowledge of semiconductor unit processes (e.g. lithography, etch, CMP, cleaning, thermal management) and the performance and EHS specifications that govern process-material qualification. - Demonstrated ability to lead application-driven engagements with external industrial partners and to translate fluently between experimental results and computational/modeling requirements. - Proficiency in Python — sufficient to run and configure computational discovery workflows and interpret their outputs — and comfort collaborating with generative-ML and physics-based simulation teams. - Familiarity with generative molecular design, high-throughput virtual screening, or ML property prediction for molecules and materials. HIGHLY DESIRED SKILLS & EXPERIENCE - Direct, hands-on experience with PFAS phase-out or fluorine-free reformulation in a fab or specialty-chemicals setting. - Experience defining qualification protocols or reliability criteria jointly with fabs, OEMs, or chemical suppliers - Track record of publications or patents in semiconductor materials, fluorochemistry, or PFAS alternatives. - Experience operating within a CHIPS Act or other federally funded R&D program. WHY JOIN US? We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth. - Compensation: Competitive base salary commensurate with experience, plus equity and performance-based incentives. - Benefits: Comprehensive health, dental, and vision insurance; 401(k) with company match; generous parental leave. - Work-Life Balance: Flexible hybrid work arrangements, generous PTO, and a culture that respects focus time and recovery. - Career Development: Direct exposure to CHIPS Act-funded programs, senior scientific and executive leadership, mentorship, and dedicated learning budgets to support continued growth. SANDBOXAQ WELCOMES ALL We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews
Staff Applied Data Scientist, Pricing
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 . As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do: - Own end-to-end pricing experimentation, from test design through analysis and recommendation - Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products - Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities - Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship - Synthesize complex findings into clear, actionable recommendations and present them to senior leadership Required Skills and Experience: - 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field) - 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models - Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis - Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through executive presentation - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $207,485 - $244,100 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Product Designer, Design, Dev, & AI Tools
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for technically-minded product designers who are excited to shape how teams build together. At Figma, design isn’t just how something looks—it’s how it works, how it feels, and how it scales. Our designers are systems thinkers, prototypers, storytellers, and craftspeople who care deeply about quality and collaboration. In this role, you’ll turn ambiguity into clarity, push the product forward with engineers, PMs, and researchers, and help us invent new ways for people to design and build products together. With an eye for simplicity and craft, curiosity for complex systems, and an appetite for technical challenges, you can help define the future of how software is made. This opportunity applies to openings of varying seniority levels across our team–including Figma Editor, AI, Interactivity, Design Systems, and Dev Tools. We’ll discuss more specifics about open roles during the interview process. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Contribute to overall strategy and decision-making about product direction - Help deliver and refine clear storytelling around product needs and opportunities - Work cross-functionally with product management, engineering, design, and research peers - Create and iterate on flows, prototypes, and high-fidelity visuals, as well as provide thoughtful feedback for others doing the same so you can all do your best work - Design and ship high-quality features and product improvements in Figma’s core product surfaces - Contribute to our design org’s culture by participating in design critiques, mentoring peers, and sharing best practices across teams We’d love to hear from you if you have: - 3+ years of experience designing UX and UI for a software product of similar scale and complexity - Great attention to detail and a strong eye for visual craft, such as composition, typography, and layout - Fluency in interaction design and prototyping, to express and refine nuanced design decisions - A track record of independently driving design processes from discovery through launch—balancing user needs, technical constraints, and business goals - The ability to guide decision-making with structured thinking, clearly articulated rationale, and user-centered research. - A knack for figuring out ambiguous problems in complex systems, and shaping them into simple solutions with clear goals - Experience researching, prototyping, or building products with AI and other emerging tools to uncover new patterns for creativity and collaboration While it’s not required, it’s an added plus if you also have: - Familiarity with web technologies like HTML/CSS, prototyping tools such as Origami, or advanced Figma features like Auto Layout, Variables, and Components - A design/development hybrid background, or
Senior Machine Learning Engineer, ML Efficiency
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. About the Role Reddit is building a dedicated Ads ML Efficiency function to make model training and inference materially faster, cheaper, safer, and more scalable. This person will be a key senior engineer on that team, owning meaningful efficiency work across training systems, inference and serving paths, launch-readiness tooling, and reusable optimization capabilities for Ads ML. This role sits at the intersection of ML modeling, systems optimization, and engineering leverage. The engineer will partner closely with ranking teams, serving owners, and ML Platform to identify important bottlenecks, land measurable efficiency wins, and help build the mechanisms that make those wins repeatable. What you’ll do - Independently own high-value optimization initiatives across training, inference, or launch-readiness for important Ads ML workloads. - Diagnose bottlenecks in real production systems using profiling, benchmarking, and observability rather than intuition-first debugging. - Build performance tooling, optimization playbooks, observability hooks, guardrails, or efficiency primitives that help more than one team or workload over time. - Improve launch-safety and efficiency readiness by contributing to load testing, fallback readiness, latency and cost visibility, and operational confidence for heavy models. - Work with model owners and platform teams to land pragmatic fixes while helping the team gradually standardize repeated solutions. - Contribute to the team’s technical direction by surfacing patterns, tradeoffs, and opportunities for reuse or automation. - Mentor less-experienced engineers through code, debugging, measurement rigor, and strong execution habits. What we’re looking for - Deep ML systems experience close to real production models and workloads, not just generic infra exposure. - Direct hands-on experience improving training or serving efficiency with measurable outcomes. - Strong technical judgment across model-level, runtime-level, and infrastructure-level optimization choices. - Ability to own complex projects end to end and collaborate effectively across team boundaries. - Good customer and platform instincts: can solve concrete bottlenecks while keeping maintainability, adoption, and future reuse in mind. - Strong communication: able to explain tradeoffs clearly to engineers and partner teams. Nice-to-have - Experience with GPU training or serving migrations. - Experience with PyTorch, distributed training frameworks, or kernel/runtime optimization. - Experience building launch certification, efficiency benchmarking, or cost observability systems. - Experience in organizations where platform and applied modeling responsibilities are split across multiple teams. - Experience with model compression or deployment optimizations such as quantization, pruning, distillation, or checkpoint optimization. Benefits: - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 - $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Senior Software Engineer, Backend (ML Feature Plat...
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. ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: - Feature creation, exploration, and serving - Data storage, availability, and visibility - Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This posting is for an existing vacancy. Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: 153,000 - 213,000 LI-Remote This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: - Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents - Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses - Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge - ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Software Engineer – MLOPS
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 As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player Data domain within Ubisoft’s Data Office, whose mission is to use data to support players throughout their journey in a safe and respectful environment. This role combines applied research and software engineering , with a strong focus on production deployment . What you’ll do - Lead end to end projects , from design to real world usage - Design, develop, and maintain application services and APIs for data and model sharing - Build and operate large scale data processing pipelines - Deploy and manage scalable cloud infrastructures - Improve platform quality and reliability - Contribute to exploratory projects testing new data and machine learning approaches - Write clean, efficient, and maintainable code designed for scale - Apply modern deployment and monitoring practices for machine learning systems - Collaborate closely with data and machine learning specialists to bring models into production Qualifications What you bring to the team - Strong skills in software development or data engineering , using Python or Rust - Experience designing and consuming web service APIs - Practical knowledge of cloud environments and containerized systems (Kubernetes, ArgoCD, AWS, Terraform) - Ability to connect high level vision with technical details - Collaborative mindset with clear and respectful communication - Working knowledge of machine learning , including advanced models - Experience deploying predictive models into production - Familiarity with large scale data processing tools or platform operations , an asset Additional Information - Your CV highlighting relevant skills and experiences - Links to projects, code repositories, or systems you have contributed to
Government Partnerships Communications Lead
About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. The team's role is to clearly and authentically explain our technology, values, and approach to safely building powerful AI. About the Role We are seeking an exceptional communications professional to lead communications support for OpenAI's partnerships with federal, state, and local governments and our broader public-sector enterprise work. This person will help tell the story of how governments are using AI, support major customer and partner moments, and communicate about government work happening across priority areas including cybersecurity, biodefense, national security, science. This role will partner closely with public-sector go-to-market and partnerships, Global Affairs, legal, product, research, safety, and security teams to develop clear external communications for the public, media, policymakers, and customers. The ideal candidate will bring strong strategic and tactical communications judgment, move quickly and collaboratively on complex issues, and have a passion for technology and storytelling. In this role, you will: - Developing and executing communications plans that educate press, policymakers, customers, and the public about OpenAI's government partnerships and public-sector work - Building proactive campaigns and customer stories that demonstrate how AI can improve public services, strengthen government workforces, and support critical missions - Supporting communications across priority areas including cybersecurity, biodefense, national security, science, and science. - Building deep relationships with national, state, local, technology, policy, and enterprise media and managing inbound requests - Partnering cross-functionally with Global Affairs, public-sector go-to-market, legal, product, research, safety, security, and other teams - Providing counsel and communications support to senior leaders and partners across interviews, speeches, events, and other public moments - Anticipating communications risks and developing thoughtful mitigation and response strategies You might thrive in this role if you have: - 7+ years of professional communications and media relations experience, including work on government, enterprise technology, national security, cybersecurity, biodefense, or other highly scrutinized issues - A strong track record of driving media campaigns in support of policy, partnership, or business priorities - Experience translating complex technical and policy work into clear, credible external narratives - Proven success building relationships and collaborating with press, executives, government partners, and cross-functional teams - Strong political and policy judgment, high ownership, and comfort operating quickly in an environment with limited structure Workplace & Location This role is based in Washington, DC, and will require occasional travel. 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.
GTM Strategy & Operations Lead
Perplexity is seeking a GTM Strategy & Operations Lead to join our Enterprise team. In this role, you will own the analytical and operational foundation of our sales organization, working directly with the VP of Sales and front-line sales leaders across all of our sales motions. This role is ideal for a hands-on operator who has helped a sales organization grow through its messiest stages and wants to build the planning, forecasting, and performance infrastructure for one of the fastest-growing enterprise businesses in AI. This is an individual contributor role reporting to the VP of Sales Responsibilities - Run the GTM operating cadence, including weekly pipeline reviews, forecast calls, and quarterly business reviews, owning both the underlying data and the narrative - Build and own the sales forecasting process, giving leadership an accurate and defensible view of the quarter - Design and maintain territory and segment models across all sales motions, and own the territory carve process - Build sales capacity, coverage, and quota models that connect hiring plans to revenue targets - Own performance reporting across the funnel: conversion, pipeline health, rep productivity, attainment, and ramp - Conduct strategic analyses to identify where the business is working and where it is not, and turn findings into clear recommendations for sales leadership - Drive high-priority cross-functional GTM initiatives, from annual planning through execution - Partner with Sales, Marketing, Customer Success, and Strategic Finance to keep the go-to-market plan grounded in shared data Qualifications - Significant experience in GTM strategy, sales operations, revenue operations, or a similar function at a high-growth company, with direct exposure to what breaks as a sales team scales and a record of fixing it - Strong SQL and hands-on analytical skills; you pull your own data and build your own models rather than waiting on analyst support - Deep familiarity with Salesforce and experience working directly in a data warehouse such as Snowflake - Proven ability to run an operating cadence with senior sales leaders and hold the organization to it - Skilled at structuring ambiguous problems and communicating recommendations clearly to executives - Comfortable moving between long-range planning and same-day operational questions - Exceptional written and verbal communication; comfortable presenting to senior stakeholders - Bachelor's degree or equivalent experience Nice to Haves - Experience operating a usage-based or consumption business model, where forecasting and planning go beyond seat counts - Background in management consulting, strategic finance, or corporate strategy prior to an operating role - Experience at an AI or enterprise infrastructure company
Senior Webinar & Digital Events Strategist
About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Webinar & Digital Events Strategist to redefine webinars and digital experiences as a high-quality demand channel. You’ll own audience strategy, portfolio design, programming principles, conversion paths, and performance recommendations while partnering closely with a Webinar Marketing Manager on production and delivery. This is a hands-on role for a strategic operator who can create compelling experiences and build the pre-event, live, and post-event systems required to turn engagement into qualified demand. In this role, you will: - Owning the webinar and digital events strategy, including audience priorities, portfolio architecture, editorial themes, formats, calendar, investment decisions, and success measures. - Designing experiences for specific buyer needs and journey stages, with a clear value exchange, CTA, follow-up path, and connection to broader campaigns. - Partnering with Product Marketing, Content, speakers, customers, and subject-matter experts to create differentiated programs that make complex AI topics useful and concrete. - Working closely with the Webinar Marketing Manager and production partners to translate strategy into clear briefs, run-of-show requirements, launch plans, QA, and delivery standards. - Building integrated pre- and post-event motions across paid, email, web, social, SDR, Sales, and account-based channels to reach the right audiences and sustain momentum. - Establishing qualification, routing, seller context, and follow-up expectations so high-intent engagement receives timely and relevant action. - Defining measurement across audience quality, registration-to-attendance, engagement, CTA behavior, qualified leads, account progression, pipeline, and content reuse. - Using performance data and audience feedback to improve the portfolio, retire low-value formats, and create reusable programming and activation playbooks. You might thrive in this role if you have: - 10+ years of experience across B2B webinars, digital events, experience marketing, content programming, or integrated campaigns, ideally within a complex or technical category. - A track record of building programs that create qualified demand and pipeline—not simply registrations, attendance, or engagement. - Strong understanding of audience strategy, programming, speaker development, digital attendee journeys, promotion, production, follow-up, and measurement. - Experience leading complex cross-functional programs with executives, subject-matter experts, customers, agencies, technical partners, and sales teams. - Excellent editorial judgment and the ability to translate sophisticated ideas into clear, compelling audience experiences. - Strong analytical discipline and comfort using audience, engagement, conversion, and pipeline data to make portfolio and investment decisions. - The ability to balance strategic planning with hands-on problem solving in high-visibility, fast-moving environments. - Genuine curiosity about AI and its potential to improve experience design, content workflows, audience intelligence, and personalization. Workplace & Location This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Occasional travel will be required. 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.
Regional State and Local Affairs Lead, Southern St...
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 looking for a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Southern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will work closely with Anthropic's Southern Regional State and Local Lead, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the South—engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will be based in Texas and will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-paced environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is genuinely distinctive in the marketplace—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across the Southern United States, working in close coordination with the other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Southern state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Are based in Texas, or are willing to relocate, and are prepared to travel regularly across the region - Have existing relationships with state and local leaders in Texas and other Southern states, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Have the ability to work under time pressure and manage competing demands in high-stakes environments - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Preferred qualifications - 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Exposure to technology policy or emerging technology regulation, and an understanding of the unique challenges of navigating policy for rapidly evolving technologies - Drawn to working with an organization that approaches AI policy with intensity and intellectual honesty 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: $230,000 - $265,000 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.
Brand Marketing Lead, Enterprise
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 Brand Marketing Lead, Enterprise to build and lead brand marketing for Anthropic's enterprise business. In this role, you'll define how Claude shows up for the CIOs, CTOs, CISOs, developers, and IT and line-of-business leaders making platform decisions at the world's largest organizations — and translate Anthropic's research and safety work into a commercial narrative that helps win those decisions. You'll partner tightly with product marketing, enterprise marketing, sales, and creative teams to develop positioning, messaging, and campaigns that establish Claude as the enterprise AI platform of choice. The role combines long-term brand building with direct commercial impact. The ideal candidate is a strategic thinker who is equally at home analyzing a pipeline dashboard and briefing a creative agency. You've built or repositioned B2B brands in crowded, fast-moving markets, you have strong instincts for what breaks through with technical and executive buyers, and you're energized by building a function from the ground up in a rapidly evolving category. Key responsibilities - Develop and execute Claude's enterprise brand strategy, positioning, and messaging architecture across the full enterprise buying committee - Translate Claude's technical and research differentiation into business-value narratives tailored for technical, economic, and executive buyers - Partner with product marketing, demand generation, and growth marketing teams to ensure brand programs directly influence funnel engagement. - Lead distinctive, category-defining campaigns — briefing and championing bold creative work with internal and agency partners and protecting it through stakeholder review - Build measurement frameworks that prove brand's contribution to commercial outcomes, from awareness and preference shifts to sales cycle impact - Provide brand air cover for the revenue org during competitive deals, market moments, and target-account programs - Build key brand tools that allow enterprise marketers to move fast supporting the field, partner, and customer marketing teams. Ensure there is capacity available to support their program needs. - Ensure enterprise brand metrics are being developed and measured on a regular basis and are used to inform enterprise marketing work Minimum qualifications - B2B brand marketing experience at companies selling complex technology platforms to enterprise buyers - Demonstrated track record of building or repositioning business brands to establish category leadership in fast-moving, competitive markets - Experience partnering with product marketing, enterprise marketing, and sales to build programs that measurably influence pipeline and win rates - Strong creative judgment and experience briefing and partnering with creative teams to deliver distinctive campaign work - Experience establishing measurement frameworks that prove brand's contribution to commercial outcomes Preferred qualifications - 12+ years of B2B brand marketing experience, with significant time at enterprise technology companies - Experience building and scaling a brand function from scratch or through a period of rapid growth - Background marketing AI, developer platforms, cloud infrastructure, or other technical enterprise products - Experience repositioning against dominant incumbents or displacing entrenched competitors in enterprise accounts - Familiarity with the AI safety landscape and the importance of responsible AI development - Experience developing global enterprise marketing strategies - A passionate interest in AI and its potential to positively impact society The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $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.
General Manager - UK
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall UK strategy and deliverables, in line with company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the market. In this role, you will: 1. Develop and execute our UK country strategy, including sales, customer delivery, KPI setting and hiring 2. Design the optimal pipeline to reach our ambitious sales targets on the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market 3. Hire the founding country team responsible for sales and implementations 4. Define event priorities and where to invest for brand awareness 5. Represent ElevenLabs in events and media appearances 6. Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team 7. Ideate, own and drive big bets in the UK Requirements 1. 15+ years of experience leading teams and highly complex projects 2. Background in consulting and sales 3. Deep expertise in deploying technical products and/or solutions to enterprises 4. Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results 5. Outstanding communication and interpersonal skills 6. A hands-on leader who thinks outside the box and wants to generate results 7. Proven ability to build and scale high-performing teams 8. Established professional network across the UK enterprise and B2B landscape Location This is an in-country role with a strong preference for a candidate in London. #LI-remote
General Manager - Poland
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is an in-country role, ideally based in Warsaw. We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall Poland strategy and deliverables, in line with company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the market. In this role, you will: 1. Develop and execute our Poland country strategy, including sales, customer delivery, KPI setting and hiring 2. Design the optimal pipeline to reach our ambitious sales targets on the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market 3. Hire the founding country team responsible for sales and implementations 4. Define event priorities and where to invest for brand awareness 5. Represent ElevenLabs in events and media appearances 6. Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team 7. Ideate, own and drive big bets in Poland Requirements 1. 15+ years of experience leading teams and highly complex projects 2. Background in consulting and sales 3. Deep expertise in deploying technical products and/or solutions to enterprises 4. Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to produce results 5. Outstanding communication and interpersonal skills 6. A hands-on leader who thinks outside the box and wants to generate results 7. Proven ability to build and scale high-performing teams 8. Native speaker of Polish Location This role is remote-first so it can be executed from anywhere in Poland, with a strong preference for a candidate in Warsaw. #LI-remote
Senior Manager, Technical Accounting - M&A and Inv...
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 Senior Manager, Technical Accounting – M&A and Investments to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A and Investments. As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators. This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you. In this role, you will: - Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures - Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes - Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized - Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill - Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations - Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews - Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses - Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters - Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments - Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions - Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing - Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms - Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education You may be a good fit if you: - Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end - Hold an active CPA license - Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company - Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity - Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny - Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models - Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design - Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders - Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications - Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls - Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling - Curious about and quick to adopt new AI tools, including Claude and Claude for Finance Strong candidates may also: - Have deep, practitioner-level expertise in one or more of the following: - Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions - Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative - Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D - Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions - Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes) - Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $230,000 - $300,000 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.
Senior Manager, Technical Revenue Accounting, Ads
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership. We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows. About the Role This senior leader will own key elements of Ads revenue accounting from technical assessment through operational execution. The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions. It will establish governance and translate approved accounting positions into launch, billing, data, close, reconciliation, and control requirements. Success requires deep technical revenue expertise, strong business partnership, and the ability to build durable 0-to-1 processes in a fast-changing environment. Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation. - Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change. - Establish governance for new products and accounting decisions, including intake, decision rights, materiality and escalation thresholds, launch approvals, policy versioning, decision logs, and post-launch monitoring. - Translate accounting conclusions into clear requirements for product design, contracting, billing, data, estimates, close, reconciliations, controls, and reporting. - Own the operating cadence for incentive and makegood accounting, invoice readiness, accruals and reserves, settlements, reconciliations, GL tie-outs, flux analysis, reporting, and control evidence. - Partner with Ads Product, Engineering, Data, Finance Engineering, Sales, Deal Desk, Legal, Tax, Billing, and Technical Accounting on launches, enterprise negotiations, and international expansion. - Prepare concise technical memos and audit-ready support; align novel or material conclusions with Corporate Technical Accounting and external auditors. - Use data, AI, and automation to improve research, monitoring, policy maintenance, issue tracking, documentation, and repeatable Finance workflows with appropriate review controls. You might thrive in this role if you have: - 10+ years of progressive experience in revenue accounting, including direct ownership of complex ASC 606 judgments and operational execution. - Demonstrated leadership to independently set direction, prioritize across competing risks, and influence senior cross-functional stakeholders. - Experience with digital advertising, adtech, marketplaces, payments, usage-based services, or another high-volume transaction environment. - Strong command of variable consideration, principal-versus-agent, contract modifications, incentives and credits, collectibility, estimates, and revenue presentation. - Track record building 0-to-1 accounting processes, governance, close mechanisms, reconciliations, and controls that scale. - Ability to turn technical conclusions into practical product, contract, billing, data, and operating requirements. - Clear, concise written and executive communication, including audit-ready documentation and evidence-based recommendations. Preferred Qualifications: - Experience supporting global launches, multiple currencies, international contracting entities, intercompany considerations, or localized billing models. - Experience applying AI or automation within Finance while maintaining review, validation, and control standards. - Experience partnering closely with Product, Engineering, Data, or Finance systems teams. - Experience developing or leading high-performing accounting teams or distributed operating groups. - Background in public-company controllership, technical accounting, audit, or similarly rigorous control environments. 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.
General Manager - Colombia
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This is an in-country role based in Colombia. About the role ElevenLabs is one of the fastest-growing AI companies in the world, and Colombia is one of our most strategic markets in Latin America. We're looking for an experienced General Manager to own the country end to end, build the founding commercial and technical team, and drive ElevenLabs to market leadership in Colombia. This is a role for an execution-focused operator who has built and led high-performing teams in Colombia, understands the enterprise landscape deeply, and is ready to build something with real legacy. In this role, you will: - Develop and execute the Colombia country strategy including sales, customer delivery, KPI setting, and hiring - Design the optimal pipeline to reach ambitious B2B sales targets and personally lead relationships with the top 30 strategic accounts in the market - Hire the founding Colombia team responsible for sales and implementations - Define event priorities and brand awareness investments in market - Represent ElevenLabs at events and in media appearances - Build and leverage the partner ecosystem to generate new collaborations and sales opportunities in partnership with the global BD team - Ideate, own, and drive big bets for the country Requirements: - 15+ years of experience leading teams and highly complex projects in Colombia - Background in consulting and sales - Deep expertise deploying technical products and solutions to enterprise customers - Owner mentality, hands-on and self-starting with a bias toward results - Outstanding communication and interpersonal skills - Proven ability to build and scale high-performing teams - Native Spanish speaker, strong English fluency required Location: Remote-first, executable from anywhere in Colombia with ability to travel for client meetings, primarily in Bogotá. #LI-Remote
Staff+ Software Engineer, Account Compromise
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 Safeguards organization builds the systems that keep Claude safe to use at scale. The Account Compromise team owns one specific slice of that work: protecting the people and organizations who use Claude from losing control of their accounts, and preventing compromised accounts and credentials from being used to abuse our platform. Account takeover, credential stuffing, phishing-driven session theft, leaked API keys, and resold access all cause real harm — to the customers whose accounts are hijacked, and to the wider ecosystem when stolen access is used to route abusive traffic through legitimate accounts. We are looking for a staff+ engineer to set the technical direction for this work. You will own the architecture of how we detect, contain, and remediate account compromise across Claude and the Claude Developer Platform, making the design decisions that other engineers and teams build on top of. You will move between deep technical work and adversarial problem-solving: threat modelling how attackers will adapt, scoping multi-month projects from ambiguous starting points, and leading complex live investigations when they escalate. This is a hard problem space. Attackers iterate quickly, the signals separating a compromised account from an unusual but legitimate one are subtle, and every defence carries a cost to real users if it fires incorrectly. You will be building the playbook, and the judgement calls about where to draw those lines will largely be yours to make and defend. You will operate with high autonomy — owning detection coverage and incident leadership, driving alignment with Security, Product, and Policy teams, and shaping how Anthropic approaches this problem globally rather than executing against someone else's roadmap. Key responsibilities - Set the technical direction and own the architecture for account compromise detection, response, and remediation across Claude and the Claude Developer Platform - Independently scope and lead complex, multi-month engineering projects from an ambiguous starting point through to production systems that operate reliably under adversarial pressure - Build and evolve detection systems that identify account takeover, credential abuse, and compromised API keys in near real time - Design automated response flows that cut off attacker access while minimising disruption to legitimate users - Lead investigations into significant compromise incidents end to end, then convert what you learn into durable, automated defences - Threat model how attackers are likely to adapt, and prioritise the team's work against that view rather than only against incidents already observed - Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy and other partners. - Define how the team measures success and hold the work to those measures - Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship - Surface patterns from compromise cases to research and product teams so that protections improve upstream Minimum qualifications - 10 + years experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production - A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects - Experience making architectural decisions in an adversarial domain that other engineers and teams then build on - Proficiency in Python and SQL, with strong software engineering fundamentals and hands-on coding ability - Experience leading investigations into account-based abuse or security incidents, and translating findings into automated detection - Ability to reason rigorously about large behavioural or telemetry datasets, and to distinguish attacker behaviour from unusual but legitimate use - Strong written communication and a track record of driving alignment across multiple teams and stakeholders - Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users, and the ability to explain and defend where you have drawn that line Preferred qualifications - Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response, including time as a technical lead or mentor - Deep familiarity with account attack techniques - Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication - Experience applying machine learning to fraud or abuse detection, alongside a clear sense of when simpler rules-based approaches are the better choice - Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow or similar - Experience building tooling for operational or investigative teams, and partnering closely with the people who use it - Interest in AI safety, and in the specific ways account compromise intersects with model misuse Representative projects - Design the architecture for real-time login risk scoring, and get agreement across Security, Product, and Safeguards on where step-up authentication should and should not fire - Design detection for compromised API keys, together with security controls to limit exposure - Rebuild product features to regain access quickly when customers get compromised - Write the threat model that sets the team's roadmap for the next year, and bring the rest of the organisation along with it - Instrument a false positive review loop that measures how often the team's defences affect legitimate users, and drive that number down 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: £325,000 - £390,000 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.
Policy Partnerships & Convenings Lead, Central Pol...
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 new member of our Central Policy team to build and lead the Partnerships and Convenings function. This function is responsible for policy strategy with a wide range of multinational civil society organizations, industry actors, and other third parties, along with the events through which policy relationships are built and sustained. You will manage a team comprising both Policy Partnerships and Policy Events experts. Your charge is to make the sum of that work strategically coherent, globally scalable, and accountable to Anthropic's policy goals. The Central Policy team sits at the operational heart of Anthropic's policy function — distinct from government relations and communications, but essential to enabling both. We focus on building the systems, resources, and scalable programs that empower our broader policy team to succeed. You'll work closely with our federal affairs, state and local affairs, international affairs, national security, policy communications, and research teams. This is a builder's role as much as a manager's. You and your team will be tasked with standing up credible partnership and events programs at speed. This function will serve as a bridge between a wide range of Anthropic's teams on one side, and third-party policy stakeholders on the other. Successful candidates will demonstrate a track record of operational and policy excellence. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems, and we build partnerships with other policy actors through proactive, opinionated, substantive policy conversations. Success in this role requires being a trusted partner both to cross-functional colleagues and external actors. This role requires approximately 25% travel, including international travel to priority regions and travel to Anthropic offices for alignment and planning sessions. Key responsibilities - Own Anthropic's global partnerships strategy, coordinating across internal teams to translate the company's policy campaigns into a coherent, rigorously tracked portfolio of coalitions, alliances, memberships, and third-party relationships across regions - Scope and execute policy partnerships programs, including in regions of the world where Anthropic is newly expanding its footprint and relationships, vendors, or precedents may not yet exist - Manage the policy events portfolio, including Anthropic-hosted tentpole programs and Anthropic's presence at partner conferences - Build and maintain relationships with key third-party stakeholders, including civil society, academic, and private-sector leaders, and represent Anthropic and its policy positions directly in those settings - Create and maintain the systems that track, measure, and optimize the partnerships and convenings portfolio, including how the team reports impact to Anthropic's leadership - Manage, develop, and retain a small team: setting priorities, clarifying scope, and holding a high bar for judgment and execution - Build the playbooks, templates, and delegation model that allow regional policy teams to execute partnership and event programs consistently without central bottlenecks Minimum qualifications - Have directly managed people doing substantive external-facing policy work, and can point to colleagues whose careers advanced under you - Have stood up credible programs in unfamiliar markets on compressed timelines — entering a country or region with no existing relationships and producing meaningful policy outcomes quickly - Excel at cross-functional project and program management, with a proven track record managing complex programs spanning research, policy, legal, and communications teams with competing priorities - Are comfortable making judgment calls in ambiguous situations — able to synthesize incomplete information from multiple teams, identify blockers, and drive decisions when strategic direction is evolving - Exercise sound judgment on prioritization, managing stakeholder expectations with clarity and directness, including when the answer is no - Understand U.S. federal, state, and local policy dynamics and can orient quickly in new jurisdictions - Are comfortable with budget ownership and financial accountability Preferred qualifications - 12+ years of experience building and leading partnerships efforts at leading technology companies, advocacy organizations, or government, including 3+ years managing high-performing teams - Track record of effective, information-rich advocacy with third-party and policy audiences - Experience building and leveraging coalitions, including industry and civil society stakeholders, to inform and influence policy actors - Experience working with communications teams to craft media and messaging campaigns for policy - Ability to hold a high bar on events — know the difference between a convening that moves policy and one that merely happens - Experience educating policy audiences about AI/ML or other complex technical topics - Experience leading policy or partnerships work outside the United States, particularly in markets where a company is establishing its first presence - Experience in high-growth technology companies, or as an early functional hire building a team from one person to several 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: $295,000 - $345,000 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.
IT Support Engineer, Executive Support
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 standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board. You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed. Responsibilities - Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members - Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure - Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage - Create exec-support runbooks and SLAs that keep the service consistent as it grows - Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go - Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them - Establish the board member device, account, and access setup process with our Onboarding lane - Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage - Participate in the Core on-call rotation and contribute to the knowledge base and runbooks - Maintain a regular on-site presence in San Francisco You may be a good fit if you have - 7+ years of experience in IT support and 3+ years in executive support - Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service - Experience supporting executives, their assistants, or a board to a white-glove standard - A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told - Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle - AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure - Composure when an urgent escalation lands, and the judgment to know when to pull in help - High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work - A security-first mindset and excellent judgment about when user experience yields to security requirements - Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work - The instinct to write things down: runbooks, KB articles, and status updates that keep people informed Nice to have - Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements - AV depth beyond first response, such as broadcast, live events, or room design input - Experience building runbooks, self-service content, or support automation - Experience supporting AI/ML research environments or highly technical user bases Deadline to apply: None. Applications will be received on a rolling basis. 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: $230,000 - $265,000 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.
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