Anthropic Fellows Program - Machine Learning Systems & Performance

Join the prestigious Anthropic Fellows Program, where you'll have the opportunity to delve into cutting-edge research in Reinforcement Learning. This program is designed for individuals passionate about advancing AI safety and developing innovative solutions. As a fellow, you will collaborate with a team of experts, engage in impactful projects, and contribute to a progressive research environment.

The Anthropic Fellows Program in Economics connects researchers and practitioners interested in the economic dimensions of artificial intelligence. Fellows join a community focused on understanding how economic systems interact with new technologies. Program structure Fellows collaborate with established experts and peers, taking part in research that examines the relationship between economic principles and AI development. The program values innovative approaches and practical solutions to real-world economic questions. Research focus Participants investigate how advances in AI influence economic systems, and how economic thinking can inform the development and deployment of AI technologies. The environment supports original research and encourages practical problem-solving. Locations London, UK Ontario, Canada Remote-friendly, United States San Francisco, CA

Join the prestigious Anthropic Fellows Program, focused on advancing AI Safety. As a Fellow, you will collaborate with distinguished researchers and contribute to groundbreaking projects that prioritize the ethical development and deployment of artificial intelligence.

About AnthropicAt Anthropic, we are dedicated to developing reliable, interpretable, and controllable AI systems. Our goal is to ensure that AI technology is safe and beneficial for both users and society. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create advantageous AI systems.About the TeamsThe Reinforcement Learning teams at Anthropic spearhead our research and development in reinforcement learning, playing an essential role in enhancing our AI systems. We have made significant contributions to all Claude models, particularly impacting the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work encompasses several critical areas:Creating systems that empower models to utilize computers effectively.Enhancing code generation through reinforcement learning techniques.Conducting pioneering RL research for large language models.Establishing scalable RL infrastructure and training methodologies.Improving model reasoning capabilities.We work closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and secure. Additionally, we collaborate with the applied production training team to seamlessly integrate research advancements into deployed models, demonstrating our commitment to implementing research at scale. Our Reinforcement Learning teams operate at the intersection of cutting-edge research and engineering excellence, dedicated to building high-quality, scalable systems that expand the possibilities of AI.About the RoleAs a Research Engineer in the Reinforcement Learning domain, you will partner with a diverse group of researchers and engineers to enhance the capabilities and safety of large language models. This position merges research and engineering responsibilities, requiring you to implement innovative approaches while contributing to the research strategy. You will engage in fundamental research in reinforcement learning, developing 'agentic' models capable of tool use for open-ended tasks such as computer usage and autonomous software generation, improving reasoning skills in disciplines like mathematics, and creating prototypes for internal applications, productivity, and evaluation.Representative Projects:Design and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters, scaling our systems to manage increasingly complex research workflows.Invent, implement, and evaluate novel training environments, evaluations, and methodologies for reinforcement learning.

Join Anthropic as an AI Safety Fellow, where our mission is to develop reliable and interpretable AI systems that prioritize safety and societal benefits. This unique opportunity allows you to engage in cutting-edge AI safety research for four months, with guidance from leading experts in the field. You will utilize external infrastructures to undertake an empirical project aligned with our research goals, culminating in a public output such as a research paper. We foster a collaborative environment, connecting you with the broader AI safety research community, and providing generous stipends and resources to support your research endeavors.

At Google DeepMind, we prioritize diversity in experience, knowledge, backgrounds, and perspectives, leveraging these attributes to create remarkable impact. We are dedicated to providing equal employment opportunities regardless of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or any other condition protected by applicable law. If you have a disability or additional needs that require accommodation, please feel free to reach out to us.SnapshotWe seek talented Research Scientists to advance fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.About UsDeepMind’s RL team is a cohesive and collaborative group of scientists and engineers, led by Tom Schaul. We address large-scale research challenges in reinforcement learning, designing, refining, and scaling RL algorithms to yield significant scientific and product impact. Over the past decade, our RL team has been pivotal in developing innovations such as DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof, and Gemini. Join us in creating the next groundbreaking advancement!The RoleAs a Research Scientist, you will leverage your machine learning expertise and technical skills to innovate, spearhead research projects, and apply findings to impactful challenges. You will be responsible for implementing code, conducting experiments, owning results from start to finish, communicating findings effectively, and collaborating with fellow team members to empower others.Your work may involve:Initiating and pursuing novel research directions by proposing and testing hypotheses.Implementing algorithmic ideas and executing comprehensive experiments, including setup, execution, analysis, and iteration.Sharing your expertise and insights with other researchers.Building or enhancing infrastructure to support scalable research.Designing evaluations and ablations that address real questions and influence perspectives.Meticulously analyzing results, including debugging and failure analysis.Effectively communicating through visualizations, write-ups, and publication-ready narratives and figures.Contributing to a culture of first-principles thinking, high standards, and constructive feedback.Our projects encompass a broad spectrum of state-of-the-art machine learning and AI domains, including large language models, distributed machine learning, and more.

Anthropic seeks a Research Engineer specializing in Machine Learning, with a focus on Reinforcement Learning (RL Velocity), for its London office. This role supports ongoing AI research and contributes to building advanced machine learning systems. Key responsibilities Work alongside researchers and engineers to solve complex reinforcement learning problems Participate in designing and developing new machine learning models and systems Shape solutions that directly influence Anthropic’s research objectives Collaboration and team environment Join a team of skilled colleagues dedicated to AI advancement. Team members regularly exchange ideas, review each other's work, and support one another to create effective solutions.

Join Anthropic as an AI Security Fellow, where you'll work at the forefront of AI security and safety research. Our mission is to develop AI systems that are reliable, interpretable, and beneficial to society. As part of our rapidly growing team of researchers, engineers, and policy experts, you will engage in empirical projects aimed at enhancing cybersecurity through innovative AI applications. This fellowship offers mentorship and funding for talented individuals eager to make a difference in AI security. You'll collaborate with fellow researchers, utilize external infrastructures, and aim to produce impactful public outputs, such as academic papers. We're excited to welcome applicants for our cohorts starting in July 2026 and beyond.

Join Anthropic as a Data Engineer focusing on safeguards and play a pivotal role in driving the development of innovative AI systems. You will collaborate with cross-functional teams to ensure the reliability and safety of our data processes. This position offers a unique opportunity to shape the future of AI responsibly.

Join Anthropic as a Partner Commercial Programs Lead, where you will play a pivotal role in driving our commercial partnerships and enhancing our program offerings. You will collaborate closely with cross-functional teams to develop strategic initiatives that foster growth and drive business success.

About AnthropicAt Anthropic, our mission is to develop AI systems that are reliable, interpretable, and steerable. We believe that AI should be safe and advantageous for our users and society as a whole. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders who collaborate to create beneficial AI solutions.About the RoleWe are seeking a Community Lead to spearhead the strategy and execution of our developer and builder community initiatives across the EMEA region. This is an exciting and impactful opportunity where you will take charge of customizing and implementing centrally developed playbooks to suit local markets, executing community activations directly, and discovering new opportunities that foster a B2C2B growth strategy throughout Europe.You will work closely with our central Community team in the US, which oversees program operations, playbook development, and strategic direction. Your primary focus will be on market-specific execution, adaptation, and growth—partnering with EMEA sales, marketing, and product teams to formulate market entry and expansion strategies for community programs while determining the optimal deployment of initiatives based on regional priorities. In addition to adapting existing programs, you will be tasked with identifying and promoting new opportunities, whether that involves innovative formats, partnerships, or activations that address specific needs or gaps in local markets not currently covered by centralized resources.The essence of this role lies in scaling a community flywheel—recruiting and empowering local ambassadors, organizing regular events, and transforming community engagement into tangible business results. Your goal will be to take what has been established centrally and effectively adapt it for key EMEA markets, achieving deeper engagement and faster execution than a remote-first approach typically permits.

At Canva, our mission is to empower individuals to unleash their creativity through design. We are innovating AI technology that not only feels intuitive but also creates meaningful impacts for millions, enabling everyone to design with confidence. We are seeking a Senior Research Scientist passionate about reinforcement learning, agentic systems, and mixture of experts (MoE) models to advance our capabilities in reasoning, tool utilization, latency, and reliability.About the TeamOur team delves into multimodal agentic architectures, establishing robust training and evaluation frameworks. We collaborate closely with product and platform teams to transform groundbreaking research into engaging product features. As a pioneering post-training team, we are dedicated to developing advanced multimodal agentic systems. We cover a wide array of topics, including multimodal modeling, post-training strategies, and agent design.About the RoleIn this role, you will influence research directions and engage in hands-on initiatives across the agent stack—from reward design and policy optimization to planning, memory management, tool orchestration, dataset construction, and the innovation of post-training methodologies. You will create meticulously designed experiments, iterate rapidly, and derive reliable conclusions, all while ensuring that research translates into safe, high-quality product experiences.Key ResponsibilitiesDesign and develop agent systems focused on planning, multimodal tool usage, retrieval, innovative training methods, and modeling experiments for real-world applications in design, vision, and language.Implement scalable post-training and reinforcement learning solutions across distributed systems (using PyTorch), optimizing data loaders, telemetry, and stable training of MoE architectures while ensuring reproducibility.Contribute to the reinforcement learning and agentic systems research agenda that aligns with Canva’s product vision; quickly identify and prioritize high-impact projects.Create reward models and learning loops, including RLHF/RLAIF, preference modeling, DPO/IPO-style objectives, offline/online RL, and curriculum learning.Develop simulation tasks that expose failure modes (planning errors, tool-use weaknesses, hallucinations, unsafe actions) and establish measurable targets for improvement.Lead rigorous evaluations for agents, focusing on task success, reliability, latency, safety, and regression testing. Set up offline suites and conduct online A/B testing; favor straightforward experiments that yield generalizable results.Collaborate closely with product, design, safety, and platform teams to successfully integrate research findings into reliable product features.

About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.Independently lead small-scale research projects while partnering with colleagues on larger initiatives.Design, execute, and analyze scientific experiments to deepen our understanding of large language models.Enhance and scale our training infrastructure to boost efficiency and reliability.Develop and refine development tools to improve team productivity.Contribute across the entire stack, from low-level optimizations to high-level model design.

Cloudscaler seeks a Strategic Alliances Manager to lead its partnership with Anthropic. This full-time, permanent role is based in Central London, with a hybrid schedule (1-3 days onsite per week, depending on client needs). Salary ranges from £70,000 to £100,000. Candidates must be eligible for SC clearance, as projects involve government clients. Active clearance is not required at the application stage, but passing checks will be necessary after joining. Role overview This position centers on developing and operationalizing Cloudscaler’s alliance with Anthropic. The focus is both strategic and hands-on: designing the partnership approach, creating joint propositions, and identifying new opportunities for collaboration. The role involves executive-level engagement with partners and clients, as well as advancing formal government tenders related to AI and cloud infrastructure. Working closely with Cloudscaler leadership, the manager will turn the Anthropic partnership into active, revenue-generating projects. Success is measured by concrete outcomes, and the playbook is open for the right person to define. Requirements Experience at the intersection of AI technology, enterprise cloud, and market strategy Comfortable in a high-accountability, hands-on setting Eligible for SC clearance (required for government-related work) Working at Cloudscaler Cloudscaler is a consultancy trusted by government, defense, and enterprise organizations to deliver AWS solutions for modernizing public services and securing critical infrastructure. The team combines startup agility with the credibility of an AWS Advanced Partner. Team members collaborate directly with senior leadership and cloud specialists, taking part in ambitious UK cloud initiatives and shaping their own careers along the way. How to apply Candidates should confirm SC clearance eligibility before applying. All other steps follow Cloudscaler’s standard process.

About the Role Montu UK is hiring a Junior Clinical Fellow in Cannabis-Based Medicine for a 12-month fixed-term contract. This hybrid position is based in London, with a schedule of three days on-site and two days remote each week. The role centers on direct patient care, prescribing and assessing cannabis-based treatments for individuals with complex health needs. What You Will Do Carry out clinical assessments through video consultations, supporting patients throughout their treatment plans. Prescribe cannabis-based medicines and tailor treatments to each patient's requirements. Advise patients on their treatment options and answer questions related to their care. Review prescriptions for safety and accuracy, ensuring all medications meet clinical standards. Assist with complex clinical queries and support both patient care and external teams. Maintain accurate, up-to-date patient records in line with GMC guidelines. Lead educational sessions on cannabis-based medicine for patients, clinicians, and staff. Working Environment Join a collaborative clinical team that includes experienced consultants, pharmacists, and multidisciplinary professionals. The role offers exposure to a growing medical specialty and the chance to contribute to clinical pathways, education, and service improvements. Every day brings new challenges and opportunities to expand your clinical expertise. Who Should Apply This position is ideal for medical professionals who have completed Foundation Training and are interested in developing their skills in cannabis-based medicine. The role suits those who want to work closely with patients and multidisciplinary teams in an evolving healthcare field.

About AnthropicAt Anthropic, we are dedicated to the advancement of safe, interpretable, and steerable AI systems. Our mission is to ensure that AI technologies remain beneficial to users and society as a whole. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create cutting-edge AI solutions.About the Role:As a Research Engineer focused on Alignment Science, you will design and execute sophisticated machine learning experiments aimed at understanding and guiding the behavior of powerful AI systems. You are driven by a desire to make AI systems helpful, honest, and harmless, and you recognize the complexities associated with human-level capabilities. This role requires a blend of scientific inquiry and engineering expertise. You will engage in exploratory research concerning AI safety, addressing potential risks associated with advanced future systems (classified as ASL-3 or ASL-4 according to our Responsible Scaling Policy), frequently collaborating with teams focused on Interpretability, Fine-Tuning, and the Frontier Red Team.For insights into our ongoing research, visit our blog. We are currently looking to expand our London team in the following research areas:AI Control: Developing methodologies to ensure that advanced AI systems remain safe and non-threatening in unpredictable or adversarial environments.Alignment Stress-testing: Implementing innovative alignment stress-testing frameworks to evaluate AI system resilience.

Join Anthropic as a Staff Software Engineer on our Inference team, where you will play a pivotal role in building and maintaining the essential systems that power Claude for millions of users globally. This position involves overseeing the complete stack—from intelligent request routing to fleet-wide orchestration across various AI accelerators. You will focus on enhancing compute efficiency to support our rapid user growth while enabling groundbreaking research through high-performance inference infrastructure. As a key player in tackling complex distributed systems challenges, you will help shape the future of AI technology.

Join Anthropic as a Commercial Counsel for the EMEA region, where you will play a pivotal role in shaping our legal strategy and guiding our commercial operations. In this dynamic position, you will collaborate closely with cross-functional teams to ensure compliance and mitigate risk while supporting our innovative initiatives in AI and machine learning.

Join Anthropic as a Senior Software Engineer specializing in Inference, where you will develop cutting-edge machine learning systems and inference algorithms. You will play a crucial role in enhancing our AI products and ensuring they are reliable and efficient.