Member of Technical Staff - RL Training Framework
SpaceXAI · On-site
MeritLog read this listing from SpaceXAI's Greenhouse job board and last checked it on September 12, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $180,000 – $440,000
- Location
- Palo Alto, CA
Hiring context
How this role compares at SpaceXAI
SpaceXAI has 255 live roles in MeritLog’s catalog across 9 job families, and 110 of them are in data & analytics. 3 of those listings publish a pay range, a disclosure rate of 1%.
SpaceXAI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
What they're asking for
- Experience building, debugging, and optimizing efficiency of large-scale distributed systemsSkill
- Comfortable diving into unfamiliar areas and solving problems at all levels of the stackSkill
- Proficiency in Python, Jax, Rust, and/or C++Skill
- Experience with large scale LLM training infrastructureSkillPreferred
- Strong knowledge of reinforcement learning techniquesSkillPreferred
- Experience with RL numericsSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. 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. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
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