Member of Technical Staff - ML Infra

Trajectory is a research and product lab creating a platform for continual learning. The Member of Technical Staff - ML Infra will build and optimize infrastructure for AI systems across distributed training, inference, GPU kernels, and runtimes, while developing benchmarks, observability, and automated research workflows to improve performance and reliability.

Responsibilities:

• Build and optimize distributed training and RL infrastructure, including rollout execution, GPU scheduling, checkpointing, and recovery
• Improve training experimentation throughput and shorten research iteration cycles
• Optimize serving for production agents and training rollouts
• Improve batching, scheduling, and KV-cache management while balancing latency, throughput, cost, and model quality
• Develop and optimize GPU kernels and runtimes using CUDA, Triton, or comparable tools
• Improve memory use and execution efficiency, preserving numerical correctness and verifying gains in real workloads
• Build reproducible benchmarks, observability, and automated research workflows that propose changes, run experiments, and validate improvements
• Work with researchers to turn new algorithms into reliable systems across training, inference, and kernels