You will design and review machine learning systems tasks and solutions, covering custom kernels, profiling, debugging, and LLM serving, to produce training data for frontier models. This fits engineers with 2+ years of hands-on ML infrastructure or accelerator performance experience and working knowledge of JAX or PyTorch. The role is fully remote and open worldwide, at 40 hours a week on weekdays. Pay is listed at $90 to $120/hr as of 2026-10-23.
- Listed at $90 to $120 an hour
- 40 hours a week
- Remote
- Field: Coding
- Posted 2026-10-22
Pay as listed. Updated 2026-10-24.
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