AI Summary
Mercor seeks a PyTorch Expert to guide AI research labs in improving model performance through MLOps and ML framework expertise. Responsibilities include designing technical tasks, evaluating solutions, developing evaluation frameworks, and collaborating with subject matter experts. Must have 2+ years of ML infrastructure experience, production PyTorch skills, and custom GPU kernel optimization using Triton or Pallas.
Key Highlights
PyTorch Expert with 2+ years ML infrastructure experience
Design and evaluate MLOps and ML systems tasks
Custom GPU kernel optimization using Triton or Pallas required
Key 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
Technical Skills Required
Benefits & Perks
Remote work
W-2 employment
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.
Interested in remote work opportunities in Human Resource? Discover Human Resource Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
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.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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: [email protected]
,
Similar Jobs
Explore other opportunities that match your interests
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Not Applicable
Jobgether
United State
Visa Sponsorship
Relocation
Remote
Job Type
Contract
Experience Level
Associate
crossing hurdles
United State
Senior MLOps & ML Systems Engineer - JAX Expert
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
Mercor
United State