Remote ML Systems Engineer (Part-Time Contractor)

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. is seeking contributors to create, solve, review, and validate challenging ML engineering tasks used in AI training.

The work focuses on model development, training and inference systems, numerical computing, performance, reproducible workflows, and objective correctness checks. You will implement or modify model components, build training and inference workflows, develop evaluation systems, create data pipelines, optimize memory use or throughput, and diagnose numerical or

Qualifications

• Advanced degree in CS/ML/AI or related quantitative field.
• Strong professional or research experience in machine learning.
• Proven ability to build reproducible programmatic workflows and validate correctness.
• Depth in ML systems, numerical computing, performance optimization, or inference workflows.
• Fluent English and background in an established tech or research environment.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Use Python, command-line tools, and coding agents to build reproducible workflows.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Optimize memory use and throughput in model or systems implementations.
• Debug numerical and system-level failures and verify implementation quality.

Skills

Machine learning

Python

Coding agents

Reproducible workflows

Numerical computing

Performance optimization

Inference workflows

Education

Master's degree or PhD in computer science, ML, AI, applied mathematics, statistics, engineering, or related field

Tools

PyTorch

JAX

NumPy/SciPy

SGLang

vLLM

llama.cpp

tokenizers

transformers

Job description

OpenTrain AI, Inc. is seeking contributors to create, solve, review, and validate challenging ML engineering tasks used in AI training.

The work focuses on model development, training and inference systems, numerical computing, performance, reproducible workflows, and objective correctness checks. You will implement or modify model components, build training and inference workflows, develop evaluation systems, create data pipelines, optimize memory use or throughput, and diagnose numerical or