Anthropic

Research Scientist, Life Sciences

We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant.

Job20 Oct 2026

Research Scientist, Interpretability

To learn more about the skills we look for and how to prepare for this role, see our blog post - So You Want to Work in Mechanistic Interpretability?

AnthropicNew York City, NY, San Francisco, CA +2 more

Job22 Sept 2026

Research Engineer, Visual Knowledge Work

We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs.

Research Engineer / Scientist, Alignment

Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored.

Research Engineer, RL Scaling Science

This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.

AnthropicNew York City, NY, New York City +4 more

Research Engineer / Research Scientist, Tokens

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.

JobApplications closed2 Nov 2026

Research Engineer / Scientist, Pre-training

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

AnthropicRemote-Friendly (Travel-Required) | San… +3 moreRemote

Research Engineer, Production Model Post-Training

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies.

AnthropicZürich, CH

AnthropicSan Francisco, CA | New York City +2 more

Research Engineer, Production Model Post-Training

Research Engineer, Pretraining Scaling - London

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination.

Research Engineer, Pretraining Scaling

Research Engineer, Pretraining

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence.

AnthropicSan Francisco, CA | Seattle, WA

Job28 Sept 2026

Research Engineer, Post-Training Model Evaluations

We're looking for Research Engineers to build the evaluations that tell us - and the world - what Claude can actually do.

Research Engineer, Machine Learning (RL Velocity)

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs.

AnthropicRemote-Friendly (Travel-Required) | San… +2 moreRemote

Research Engineer, Machine Learning (RL Velocity)

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs.

AnthropicSan Francisco, CA | New York City, NY

Research Engineer, Machine Learning (Reinforcement Learning)

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models.

Research Engineer, Machine Learning (Reinforcement Learning)

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models.

Research Engineer, Life Sciences

We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic.

AnthropicRemote-Friendly (Travel-Required) | San… +3 moreRemote

Research Engineer, Knowledge Team

We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints.

Job20 Oct 2026

Research Engineer, Interpretability

The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe.