AnthropicSan Francisco, CABuild and run evaluations to measure Claude's capabilities, safety, and performance. Design metrics, implement scalable distributed eval infrastructure and dashboards, debug training runs, and partner with researchers to characterize and improve AI systems.
Annual Salary: $500,000—$850,000 USD
Minimum education: Bachelor’s degree or equivalent. Required field of study relevant to the role.
Research Engineer advancing Claude's computer use capabilities through experiments, RL environments, evaluations, and infrastructure for perception and agentic tasks. Requires Python, ML training/evaluation experience, and a focus on safe AI.
Builds and optimizes RL training infrastructure, removes bottlenecks in the RL stack, and partners with researchers to accelerate model development at scale. Requires strong software engineering, ML infra experience, and comfort across the stack.
Research Engineer on OpenAI's Privacy team designing and prototyping privacy-preserving ML algorithms like differential privacy and federated learning at scale. Requires hands-on PETs experience, fluency in PyTorch/JAX, and a track record implementing or publishing novel privacy work.
Leads development of high-performance inference systems for large-scale AI models, optimizing execution paths, distributed GPU inference, and operators. Partners with research teams to enable efficient exploration of new architectures grounded in real scalability constraints.
Build and operate research infrastructure like evaluation frameworks, RL training systems, and experiment tracking platforms. Partner directly with ML researchers to identify bottlenecks, ensure high adoption of tools, and accelerate research velocity.