Anthropic Research Resident
Anthropic · San Francisco, CA | New York City, NY
About this role
**Anthropic Research Resident** **About Anthropic** Anthropic’s mission is to create reliable, interpretable, and steerable AI systems—so AI is safe and beneficial for users and society. **About the role** The Anthropic Residency is a paid, fixed-term research program with placements lasting **between six weeks and six months**. You’ll work on empirical research focused on ensuring AI systems are safe and beneficial for humanity. You may be a good fit if you’re a **professor in a quantitative discipline**, a **technical founder**, or a **staff-level engineer** looking to transition into transformative AI safety research. **Background in machine learning is not required.** **What to expect** - A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers - Access to **Claude models** and **GPU compute** - Connection to the broader **AI safety and security** research community **Interview process** Application → recruiter screen → technical assessment → research discussion → reference check **Timeline** - Applications close: **November 22, 2026 (11:59 PM PT)** - Offers expected: **January 2027** **You may be a good fit if you** - Are motivated by making sure AI is safe and beneficial for society - Are excited to transition into full-time empirical AI research - Have led ambitious work across technical fields (professor / founder / staff-level engineer) - Thrive in fast-paced, collaborative environments - Can implement ideas quickly and communicate clearly **Strong candidates may also have** - Experience authoring research papers in ML, NLP, or AI safety - Experience with LLMs, reinforcement learning, or Kubernetes clusters and complex shared codebases **Mentors & research areas (examples)** Potential mentors include researchers leading teams across alignment, interpretability, oversight, stress-testing, and more. Areas of interest include: - **AI safety & alignment** - Scalable Oversight - Adversarial Robustness & AI Control - Model Organisms of misalignment - Model Internals & Interpretability - Safeguards Research - AI Welfare - **AI security & frontier red-teaming** - Stress-testing frontier models in areas like cybersecurity, robotics, and cryptography - **ML systems & reinforcement learning** - Training improvements and infrastructure (architecture, optimizers, data, accelerator simulation, hardware backends, RL pipelines) **Logistics** - **Duration:** 6 weeks, 3 months, or 6 months (other lengths possible by exception) - **Location:** Prefer **San Francisco office**; remote participation possible (especially for shorter placements). Remote participants must be in a country where Anthropic can hire. - **Commitment:** Full-time role for the residency duration - **Compensation:** **$350,000–$500,000/year** pro-rated + benefits - **Visa sponsorship:** Sponsored for placements of **3 months or longer** (6-week placements encouraged to be remote) **Additional notes** - Applicants may also be considered for the **Anthropic Fellows Program**. - Minimum education: **Bachelor’s degree** (or equivalent) - Required field of study: relevant to the role **Safety / scam prevention** Anthropic recruiters only contact candidates from **@anthropic.com** (or vetted agencies that identify themselves). Legitimate recruiters will **never** ask for money/fees/banking information before your first day.
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