ML Systems Engineer - Fully Remote | Upto $120/hr
$120 per hourMercor
New York, NY
- Remote job
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
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: View email address on ziprecruiter.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted 16 days ago
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