Posted 2 h ago
Sr. Model Engineer, RL Training Framework
·Palo Alto, CA·via Greenhouse
Posted by xAI on 4 November 2026. Still on their Greenhouse board when we checked 26 min ago. Half of xAI's roles come down within 75 days.
senior5+ yrsFull time
What the posting is about
Design and implement RL training framework for large-scale workloads at SpaceXSI. Profile, debug, and optimize end-to-end training performance. Improve scalability and observability of the RL stack. Experience with large models, distributed systems, and RL numerics required.
Your experience, ready for this role
Answer a few questions about your real work. Review the additions and download your CV.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationPalo Alto, CA
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-11-04
Found viagreenhouse, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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.
SR. MODEL ENGINEER, RL TRAINING FRAMEWORK
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 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
BASIC QUALIFICATIONS:
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)
PREFERRED SKILLS AND EXPERIENCE:
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
COMPENSATION AND BENEFITS:
$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 .
Copied from xAI’s own board, not rewritten.
Why this page exists
We read companies’ own hiring systems every hour, 1,912 of them, and show a job the hour it opens instead of when a job board gets around to indexing it. We had it within the hour it went up.
The feed is free. No card, no trial to expire.
A free account first, no card