Senior Machine Learning Engineer

Mercor

Job Location:

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 11 days ago

Vacancies: 1 Vacancy

Job Summary

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 DAngelo 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.

Qualifications

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.

Compensation & Legal

W-2 employment with Cincinnatus LLC.
Paid weekly.

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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 DAngelo Larry Summers and Jack Dorsey. Position: MLOps Engineer (JAX PyTorch Pallas/Triton) IN Type: Cont...

About the job

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.

Qualifications

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.