About the role
Full-time (40 hours a week, no other engagements) remote AI training work for ML systems engineers, open worldwide: design and solve hard tasks on accelerator kernels, profiling, distributed debugging and LLM inference serving, and review ML systems solutions. JAX, XLA or TPU experience is especially valued.
Experience
2+ years of hands-on experience in ML systems, ML infrastructure, model serving or accelerator performance; practical work with custom kernels (Pallas, Triton, CUDA), profiling, distributed debugging or LLM serving (vLLM, SGLang, TensorRT-LLM).
Selection process
Apply on the official platform. The listing does not describe further selection steps.
Eligibility
Worldwide (as stated on the listing), engaged through the platform's staffing entity or a local employer-of-record partner