Member of Technical Staff, Infrastructure

📋 Description

• Scale our post-training stack, supporting SFT and RL on leading open-weight models.
• Build distributed rollout infrastructure that coordinates model inference, tool execution, and
• Build the infrastructure for reproducible agent environments where models can interact with
• Own the performance and reliability of training runs, including GPU utilization, checkpointing
• Identify and remove bottlenecks across training and inference to shorten the path from research
• Build the internal tools and services the team runs on: training data management and versioning

🎯 Requirements

• Experience building ML infrastructure, distributed systems, or research tooling, with ownership of
• Strong Python and generalist software engineering skills across backend services, data systems, and
• Experience with distributed training or inference, including diagnosing performance bottlenecks and
• Understanding of post-training workflows; experience with RL rollouts, agent environments, or
• Practical judgment about what to build versus adopt, and the ability to partner with researchers

🎁 Benefits

• Salary: $230,000 – $340,000 USD
• Equity
• Bonus