AI Summary
Mercor is seeking an experienced MLOps Engineer to guide research and engineering teams in improving AI model performance. The ideal candidate will have 2+ years of experience in ML infrastructure, MLOps, or ML systems engineering. Strong written communication skills and the ability to explain complex technical decisions clearly are essential.
Key Highlights
Guide research and engineering teams
Improve AI model performance
Design challenging tasks and write accurate solutions
Key Responsibilities
Guide research and engineering teams to close knowledge gaps and improve AI model performance
Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems
Evaluate MLOps tasks and solutions and provide clear, written technical feedback
Technical Skills Required
Benefits & Perks
$35-$45/hour
Remote work
W-2 employment with Cincinnatus LLC
Paid weekly
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 (JAX, PyTorch, Pallas/Triton) — IN
Type: Contract
Compensation: $35–$45/hour
Location: Remote
Commitment: 40 hours/week
Role Responsibilities
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
- Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
- Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
- Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
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Must-Have
- 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
- Hands-on production experience with JAX and/or PyTorch at scale.
- Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
- Demonstrable career progression.
- Ability to engage reliably for at least 30 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
- W-2 employment with Cincinnatus LLC.
- Paid weekly.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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: support@mercor.com
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