About the Role
About the Role
The RL infrastructure team is looking for an engineer to help develop our RL training framework.
Responsibilities
- Design and implement the systems backing all RL workloads at SpaceXAI, 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.
Basic Qualifications
- Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
- Comfortable diving into unfamiliar areas and solving problems at all levels of the stack.
- Proficiency in Python, Jax, Rust, and/or C++.
Preferred Skills and Experience
- Experience with large scale LLM training infrastructure.
- Strong knowledge of reinforcement learning techniques.
- Experience with RL numerics.
Compensation and Benefits
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Requirements
Distributed systems
Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
Problem solving
Comfortable diving into unfamiliar areas and solving problems at all levels of the stack.
Programming skills
Proficiency in Python, Jax, Rust, and/or C++.
Nice to Have
Experience with large scale LLM training infrastructure.
Strong knowledge of reinforcement learning techniques.
Experience with RL numerics.
Benefits
Equity
Employees receive equity as part of the total rewards package.
Medical coverage
Comprehensive medical, vision, and dental coverage is provided.
Retirement plan
Access to a 401(k) retirement plan is included.
Disability insurance
Short & long-term disability insurance is part of the benefits.
Life insurance
Life insurance is offered to employees.