仕事内容
<div class="content-intro"><p><span style="font-family: arial, helvetica, sans-serif;">SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. </span><span style="font-family: arial, helvetica, sans-serif;">Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. </span><span style="font-family: arial, helvetica, sans-serif;">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. </span><span style="font-family: arial, helvetica, sans-serif;">All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</span></p></div><h3><strong>ABOUT THE ROLE:</strong></h3>
<p>The RL infrastructure team is looking for an engineer to help develop our RL training framework. </p>
<p><strong>RESPONSIBILITIES:</strong></p>
<ul>
<li>Design and implement the systems backing all RL workloads at SpaceXAI, from small scale ablations to production training runs.</li>
<li>Profile, debug, and optimize end-to-end training performance</li>
<li>Improve scalability and observability of the RL stack</li>
</ul>
<h3><strong>BASIC QUALIFICATIONS:</strong></h3>
<ul>
<li>Experience building, debugging, and optimizing efficiency of large-scale distributed systems</li>
<li>Comfortable diving into unfamiliar areas and solving problems at all levels of the stack</li>
<li>Proficiency in Python, Jax, Rust, and/or C++</li>
</ul>
<h3><strong>PREFERRED SKILLS AND EXPERIENCE:</strong></h3>
<ul>
<li>Experience with large scale LLM training infrastructure</li>
<li>Strong knowledge of reinforcemen