AI Summary
Mercor is seeking a PyTorch Expert to guide research and engineering teams in improving AI model performance. The ideal candidate will have hands-on production experience with PyTorch at scale and experience writing custom GPU kernels. The role requires strong written communication skills and the ability to explain complex technical decisions clearly.
Key Highlights
Guide research and engineering teams to improve AI model performance
Hands-on production experience with PyTorch at scale
Experience writing custom GPU kernels using Triton or Pallas
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
Remote work
W-2 employment
$70-$110/hour compensation
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: PyTorch Expert
Type: Contract
Compensation: $70–$110/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 PyTorch at scale.
- Experience writing or optimizing custom GPU kernels using Triton or Pallas.
- Demonstrable career progression.
- Ability to engage reliably for at least 40 hours/week during weekdays.
- Strong written communication skills and the ability to explain complex technical decisions clearly.
- W-2 employment with Cincinnatus LLC.
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- 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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