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:

- For any help or support, reach out to:

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

Originally posted on Himalayas