Research Scientist, Discovery (Engineering & Applied Sciences)

Job summary

Responsibilities

The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.

• Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences
• Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows
• Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data
• Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work
• Research how models can learn efficiently from experiments and real-world feedback

What they're looking for

• Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX
• Hands-on experience training or evaluating machine learning models
• Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results
• Ability to implement your own research ideas and diagnose problems in complex systems
• Ability to learn unfamiliar technical fields quickly and work productively with experts in them

Tech stack

• Python
• PyTorch
• JAX