Member of Technical Staff - RL Infrastructure

<div class="content-intro"><h3><strong><span style="font-family: arial, helvetica, sans-serif;">ABOUT xAI</span></strong></h3> <p><span style="font-family: arial, helvetica, sans-serif;">xAI’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>ABOUT THE ROLE:</h3> <p>xAI is seeking experienced software engineers to create robust data pipelines, comprehensive evaluations for benchmarking LLMs, and automation frameworks to increase the productivity of researchers and engineers.</p> <p>Typical problems you will deal with include the following:</p> <ol> <li>We have a new agentic model capability that we’d like to improve. How do we design an efficient and robust environment for the agent to perform actions in?</li> <li>Evaluations and observability are a core part of knowing what we need to improve in our models. What new features can we add into our evaluation framework to ease the workflow of researchers &amp; engineers and increase observability?</li> <li>A new open-source evaluation dataset has been released and researchers would like to track our models performance on it. How should w