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# ML Systems Engineer - Fully Remote

- **Company:** Mercor, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $187,200.0 - $249,600.0
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Profiling, Nvidia CUDA, Software Debugging, Pytorch, Machine Learning Operations
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/us869f3b927c1765c53452745e17f747f4

## About the Role

* 2+ years of hands-on professional experience in ML systems, ML infrastructure, or GPU performance engineering.
 * Practical experience in GPU kernels (e.g., CUDA, Triton) or performance profiling (e.g., Kineto, torch.profiler).
 * Working production experience with JAX and/or PyTorch.
 * Familiarity with modern accelerators such as A100, H100, or TPU.
 * Strong written communication skills.

## Description

* Design challenging tasks across GPU kernels, performance profiling, debugging, and inference serving. Write accurate, well-structured solutions.
 * Guide research and engineering teams to close knowledge gaps and improve AI model performance on ML systems and training infrastructure.
 * Evaluate MLOps and ML systems tasks. Provide clear, written technical feedback that stands up to reviewer scrutiny.
 * Develop guidelines and detailed rubrics covering kernel-level optimization, profiler output interpretation, and serving throughput and latency trade-offs.
 * Collaborate with other subject matter experts to ensure training data consistency and accuracy., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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