Remote Part-Time Machine Learning Scientist

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

Job summary

OpenTrain AI, Inc. is seeking a part-time remote machine-learning engineer to develop and validate models, training pipelines, and inference systems.

You will work on numerical methods and software components in a coding-heavy environment, deploying in a flexible 15-hour-per-week schedule. The role requires a master’s or PhD in a quantitative field, strong Python experience, and familiarity with PyTorch, NumPy, SciPy, and related tools.

Qualifications

• Master's degree or PhD in a quantitative field (CS/ML/AI/Applied math/Statistics/Engineering)
• Strong professional or research experience in machine learning and practical proficiency with Python
• Experience with ML frameworks and numerical computing tools is highly desirable

Responsibilities

• Develop and validate machine-learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows with Python and command-line tools.
• Optimize memory use and throughput; debug numerical or system-level failures; verify technical results.
• Use coding agents in a coding-heavy workflow.

Skills

Python

Machine learning

PyTorch

JAX

NumPy

SciPy

llama.cpp

tokenizers

transformers

vLLM

SGLang

Open-source

Education

Master's degree or PhD in CS/ML/AI/applied math/statistics/engineering

Tools

PyTorch

JAX

NumPy

SciPy

tokenizers

transformers

Job description

OpenTrain AI, Inc. is seeking a part-time remote machine-learning engineer to develop and validate models, training pipelines, and inference systems.

You will work on numerical methods and software components in a coding-heavy environment, deploying in a flexible 15-hour-per-week schedule. The role requires a master’s or PhD in a quantitative field, strong Python experience, and familiarity with PyTorch, NumPy, SciPy, and related tools.