Lead research and development of AI systems for engineering and applied sciences, designing reinforcement learning environments, benchmarks, and simulation-based training to improve Claude’s capabilities.
Locations (2)
San Francisco, California, United States
New York City, New York, United States
Compensation
Annual Salary: $350,000—$500,000 USD
Responsibilities
Design, build, and study reinforcement learning environments, rewards, and training data
Create benchmarks and evaluation frameworks for realistic engineering and scientific workflows
Develop simulation-based training environments and verifiers with domain experts
Research efficient learning from experiments and real-world feedback
Study robustness, calibration, and generalization of training environments
Requirements
Bachelor’s degree in engineering or applied science
Nice to have: experience with reinforcement learning and pre-training on large language models
Nice to have: familiarity with large-scale language model training pipelines
Nice to have: published research in AI for science or engineering
Nice to have: experience building simulators or surrogate models
Research Scientist, Discovery (Engineering & Applied Sciences)Anthropic · San Francisco, US+1 more