Member Of Technical Staff - Research Software Engineer
Reflection AI
New York, United States
On-site
Distributed training infrastructure
Large-scale data pipelines
Reinforcement learning training
Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems
Job Summary
Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems.
Design and optimize the core infrastructure behind frontier AI models — from reinforcement learning training loops and distributed GPU training to massive-scale data pipelines.
Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
Matching Summary
Bridge the gap between research and production by turning cutting-edge algorithms into scalable training systems.
Skills & Requirements
Must-have
Distributed training infrastructure
Large-scale data pipelines
Reinforcement learning training
Numerical stability and efficiency
PyTorch or JAX
High-performance computing
Nice-to-have
Implementing research papers
High-agency environments
Solving hard technical problems
Open weight models development
Key Requirements
Strong software engineering skills
Experience in Distributed Training & Inference or Data Infrastructure