mercor
Machine Learning Engineer| Upto $45/hr
Remote MLOps Engineer role with clear candidate location fit.
PostedJun 6, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
India
Role overview
Machine Learning Engineer| Upto $45/hr
Requirements and responsibilities
Readable role content extracted into sections for faster review.
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.
QualificationsMust-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.
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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
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