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# ML Systems Engineer - Fully Remote | Upto $110/hr in San Francisco

- **Company:** Energy Jobline
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $145,600.0 - $228,800.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Distributed Systems, Pytorch, Machine Learning Operations
- **Published:** October 10, 2026
- **Apply:** https://www.energyjobline.com/job/ml-systems-engineer-fully-remote-upto-110-hr-san-francisco-31905953

## About the Role

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 40 hours/week during weekdays.
 * Strong written communication skills and the ability to explain complex technical decisions clearly.

## Description

* 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.