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

Job Description

Job Description

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

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