OpenAISan Francisco, CALeads GPU inference engineering for Sora, optimizing model serving efficiency, kernel-level performance, and scalability. Collaborates with research and product teams to build reliable infrastructure for multimodal AI models.
Build and scale research infrastructure and distributed systems at Anthropic to accelerate ML research workflows. Independently lead complex multi-month projects, drive cross-org alignment, and partner with researchers in a fast-evolving, ambiguous environment.
Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.
Research engineer/scientist building and evaluating vision capabilities for Claude models. Requires 7+ years ML/computer vision experience and work across pretraining, RL, and agentic infrastructure.
Build and operate production ML infrastructure powering Claude's safety systems, including critical backend services on the token generation path, SLOs, observability, incident response, and platform-agnostic deployment tooling across 1P and 3P clouds. Requires deep distributed systems and on-call experience at scale; ML/transformer familiarity not required.
Build evaluation infrastructure and datasets to measure how well AI agents detect misuse and policy violations. Design experiments, productionize evals into release pipelines, and improve safety investigation capabilities.