Research Scientist, Discovery (Engineering & Applied Sciences)

Skills

About the Role

You will work end to end across the model stack, developing training environments, rewards, data and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks. You'll carry what works into production training runs and collaborate with researchers, engineers, domain experts and industry partners.

Requirements

• Proficiency in Python and hands-on experience with a modern ML framework such as PyTorch or JAX
• Hands-on experience training or evaluating machine learning models
• Track record of machine learning research
• Ability to implement your own research ideas and diagnose problems in complex systems
• Ability to learn unfamiliar technical fields quickly
• Clear communication and collaborative approach
• Commitment to developing safe and beneficial AI
• Bachelor's degree or equivalent combination of education, training and/or experience

Responsibilities

• Design, build and study reinforcement learning environments, rewards and training data for engineering and applied sciences
• Create benchmarks and evaluation frameworks for realistic engineering and scientific workflows
• Develop simulation-based training environments and verifiers validated against real-world data
• Develop approaches to long-horizon task completion, multi-agent collaboration and complex reasoning
• Research how models learn efficiently from experiments and real-world feedback
• Study robustness, calibration and generalization of environments and rewards in large-scale training
• Scale research ideas from prototype to production training runs
• Collaborate with domain experts and industry partners to turn feedback into training and evaluation signal
• Help chart how Claude's engineering capabilities reach real-world use

Benefits

• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Visa sponsorship