Sr. Model Engineer, Post-Training & RL

<div class="content-intro"><p>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.<br><br>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.</p></div><p><strong>SR. MODEL ENGINEER, POST-TRAINING &amp; RL</strong></p> <p>You will work on the most critical post-training and reinforcement learning challenges at any given time — including reward modeling, preference optimization (RLHF/DPO), and RL for improving reasoning, truthfulness, and real-world capabilities.</p> <p><strong>BASIC QUALIFICATIONS:</strong></p> <ul> <li>Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++</li> <li>Experience training large models (e.g., pre-training, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)</li> </ul> <p><strong>PREFERRED SKILLS AND EXPERIENCE:</strong></p> <ul> <li>You believe truth-seeking AI is the most important and challenging problem</li> <li>You are obsessed about building incredibly useful models through post-training and RL techniques</li> <li>You are a power user of AI models and eager to push the boundaries of what’s possible with reinforcement learning and alignment methods</li> <li>If you previously worked on post-training, RLHF, or trained models used by millions of people it’s a big plus, but relevant experience is