Anthropic Fellows Program Reinforcement Learning

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**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. This page is specific to one of the Anthropic Fellows Workstreams, see also the main **Anthropic Fellows posting**. **Anthropic Fellows Program overview**:
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a **public output** (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. **What to expect**: - 4 months of full-time research
- Direct mentorship from Anthropic researchers
- Access to a shared workspace (in either Berkeley, California or London, UK)
- Connection to the broader AI safety and security research community
- Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
- Funding for compute (~$15k/month) and other research expenses **Interview process**:
**Compensation**:
The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension). **Fellows workstreams**: - AI Safety Fellows
- AI Security Fellows
- ML Systems & Performance Fellows
- Reinforcement Learning Fellows
- Economics & Societal Impacts Fellows This page is specific to one of the Anthropic Fellows Workstreams,



see also the main **Anthropic Fellows posting**. **Across the workstreams, you may be a good fit if you**: - Are motivated by making sure AI is safe and beneficial for society as a whole
- Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
- Have a strong technical background in computer science, mathematics, or physics
- Thrive in fast-paced, collaborative environments
- Can implement ideas quickly and communicate clearly
- Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
- Experience in areas of research or engineering related to their workstream
- Fluent in Python programming
- Available to work full-time on the Fellows program **Reinforcement Learning Fellows**:
**Mentors, research areas, & past projects**:
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include: - Ruhua Jiang
- Kaidi Cao
- Sunny Duan
- David Brandfonbrener
- Colt Steele
- Dino Distefano
- Will Williams Projects in this workstream may include: - Building model-based tools to better understand AI training data and improve training data quality
- A research project to better understand generalization
- Creating RL environments to improve Claude models at capabilities that are within your domain of expertise




- Building RL environments for safety-related tasks
- Conducting research and implementing solutions in areas such as RL algorithms You might be a particularly great fit for this workstream if you: - Have strong software engineering skills with experience building complex ML systems
- Can balance research exploration with engineering rigor and operational reliability
- Enjoy collaborating across research and engineering disciplines
- Are comfortable working with large-scale distributed systems and high-performance computing
- Have experience with training, fine-tuning, or evaluating large language models
- Are adept at analyzing and debugging model training processes **Logistics**:
**Logistics Requirements**:To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. **Workspace Locations**: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. **We are also open to remote fellows in the UK, US, or Canada**. We will ask you about your availability to work from Berkeley or London (full
- or tempo parziale) during the program. **Visa Sponsorship**:We are **not** currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada. **Please note**: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bjfpx