SR. MODEL ENGINEER, POST-TRAINING & RLYou 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.
BASIC QUALIFICATIONS:- Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++
- Experience training large models (e.g., pre-training, post-training, fine-tuning, or RL training of neural networks with 1B+ parameters)
PREFERRED SKILLS AND EXPERIENCE:- You believe truth-seeking AI is the most important and challenging problem
- You are obsessed about building incredibly useful models through post-training and RL techniques
- You are a power user of AI models and eager to push the boundaries of what's possible with reinforcement learning and alignment methods
- 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 not required
- You take pride in your work and thrive in meritocratic environments
COMPENSATION AND BENEFITS:$180,000 - $600,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, 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.
