RL Training Framework Engineer — Scale & Optimize

Maven Ventures; Palo Alto (CA); Sur place; USD 180 000 - 440 000; Plein temps

Avantages offerts par ce poste

Equity

Medical coverage (vision and dental)

401(k) retirement plan

Disability insurance

Life insurance

Résumé du poste

SpaceXSI in the United States (Palo Alto) is hiring a Model Engineer for its RL Training Framework to design and optimize the infrastructure that supports RL workloads from experiments to production runs.

You will work across the stack—Python, PyTorch, JAX, and C++—to improve performance, scalability, and observability, with a competitive compensation package including equity and medical benefits.

Qualifications

• Production-quality coding experience in Python, PyTorch, JAX, Rust, or C++.
• Experience with large-scale distributed systems and RL training infrastructure.

Responsabilités

• Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs
• Profile, debug, and optimize end-to-end training performance
• Improve scalability and observability of the RL stack

Connaissances

Production-quality coding

Distributed systems experience

Description du poste

SpaceXSI in the United States (Palo Alto) is hiring a Model Engineer for its RL Training Framework to design and optimize the infrastructure that supports RL workloads from experiments to production runs.

You will work across the stack—Python, PyTorch, JAX, and C++—to improve performance, scalability, and observability, with a competitive compensation package including equity and medical benefits.