MLOps Engineer

About the Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position Details:

• Title: MLOps Engineer - LLM Performance (Kernels, Profiling, Serving)
• Type: Contract
• Compensation:$90–$120/hour
• Location: Remote

Role Responsibilities:

• Design challenging tasks across kernels, profiling, debugging, and inference serving.
• Write accurate, well-structured solutions to expose where frontier models fail on accelerator code.
• Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems, compilers, and training infrastructure topics.
• Evaluate ML systems tasks and solutions. Provide clear written technical feedback that stands up to expert review.
• Develop guidelines and detailed rubrics covering kernel optimization, profiler output interpretation, distributed systems reasoning, and serving throughput and latency trade-offs.