Sr. Model Engineer, RL Training Framework

United States·Palo Altosenior

Other

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Quick Summary

Key Responsibilities

Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs Profile, debug,

Requirements Summary

Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++ Experience training large models (e.g., pre-training, post-training, fine-tuning,

Technical Tools

Other

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

The RL infrastructure team is looking for an engineer to help develop our RL training framework.

Responsibilities

~1 min read

→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

Requirements

~1 min read

Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
Experience training large models (e.g., pre-training, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)

Experience building, debugging, and optimizing efficiency of large-scale distributed systems
Experience with large scale LLM training infrastructure
Experience with RL numerics
Strong knowledge of reinforcement learning techniques
Comfortable diving into unfamiliar areas and solving problems at all levels of the stack

What We Offer

~1 min read

$180,000 - $400,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

Location & Eligibility

Where is the job

Palo Alto, United States

On-site at the office

Who can apply

About this job

Pay per year: $180,000–$400,000 a year; 324% above the $68,380 median for Other jobs on Jobera (136,816 salaries).
Who can apply: United States
Posted: Today
Employer: has 328 open jobs on Jobera in 7 countries.