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.

Member of Technical Staff - RL Training Framework

About This Role

ABOUT THE ROLE:

BASIC QUALIFICATIONS:

PREFERRED SKILLS AND EXPERIENCE:

COMPENSATION AND BENEFITS:

Perks & Benefits

Skills & Tech Stack

Location

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