Model Engineer
Cursor · Palo Alto, CA
About this role
## Model Engineer — SpaceXSI SpaceXSI is building **Super Intelligence** to help humanity understand the universe. You’ll help train frontier coding agents and scale RL on real user data to make them increasingly effective. ### Responsibilities - Design and run rigorous experiments that turn research ideas into measurable gains in model capability - Improve data recipes through data quality, deduplication, and mixture experiments - Define what makes RL data and rewards good, including grader design and preventing reward hacking - Advance training science, from architecture and scaling experiments to post-training recipes for coding and computer-use agents - Build evals and targeted tasks that expose model weaknesses and guide where the team invests next - Partner with engineers to take promising results from small experiments to frontier-scale training runs ### Basic Qualifications - Experience writing production-quality code in **Python, PyTorch, JAX, Rust, or C++** ### Preferred Skills & Experience - Able to handle ambiguous research tasks with little guidance; own research direction end-to-end - Strong focus on data quality; can dive into data when appropriate - Truth-seeking mindset—learn the science rather than prove assumptions - Experience with **RL algorithms for language models**, scaling laws, or building RL environments and evals - Experience with distributed training at scale and debugging scale-only issues - Experience training frontier-scale models - Strong RL and ML fundamentals - Excellent programming/software engineering skills across the research stack (Python + PyTorch or JAX) - Hands-on experience training large models (pretraining, post-training, or RL) - Track record of original ML work (research, open source, or production impact) ### Education - **MS or PhD** in CS, ML, math, physics, or related field, or equivalent research experience ### Additional Requirements - **Onsite role**: must be able to work in person at the **Palo Alto** office ### Compensation & Benefits - **Annual salary range:** **$160,000 – $250,000 USD** (case-by-case based on knowledge/skills, education, and experience) - Total rewards include **equity**, comprehensive **medical/vision/dental**, **401(k)**, disability and life insurance, and additional perks/discounts.
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