ML Systems Engineer - Fully Remote | Upto $120/hr

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: MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)

Type: Contract Compensation: $90–$120/hour Location: Remote Commitment: 40 hours/week Role Responsibilities

• Design challenging tasks across GPU kernels, performance profiling, debugging, and inference serving. Write accurate, well-structured solutions.
• Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure.
• Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny.
• Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs.
• Collaborate with other subject matter experts to ensure training data consistency and accuracy.

Qualifications Must-Have

• 2+ years of hands-on professional experience in ML systems, ML infrastructure, or GPU performance engineering.
• Practical experience in GPU kernels (e.g., CUDA, Triton) or performance profiling (e.g., Kineto, torch.profiler).
• Working production experience with JAX and/or PyTorch.
• Familiarity with modern accelerators such as A100, H100, or TPU.
• Strong written communication skills.

Compensation & Legal

• W-2 employment with Cincinnatus LLC.
• Equal Employment Opportunity employer.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,