Remote ML Engineer — Python, Training Pipelines & Inference

RemoteJobsOne; Charlotte (NC); Remote; USD 110,000 - 207,000; Part time

Job summary

RemoteJobsOne seeks a highly skilled ML Engineer for a fully remote contractor role based in the United States. You will develop ML models, training pipelines, and inference systems using Python, PyTorch, and related tools.

This flexible, coding-heavy position requires advanced degrees and demonstrated ML experience; the work is task-based with immediate start and around 15 hours weekly.

Qualifications

• Master’s degree or PhD in CS/ML or related quantitative field.
• Strong professional or research experience in machine learning.
• Proficiency with Python and coding agents.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.

Skills

Python

Machine Learning

Deep Learning

Coding

Distributed Systems

Education

Master’s/PhD in CS/ML or related

Tools

PyTorch

JAX

NumPy

SciPy

SGLang

vLLM

llama.cpp

Hugging Face Transformers

Hugging Face Tokenizers

Job description

RemoteJobsOne seeks a highly skilled ML Engineer for a fully remote contractor role based in the United States. You will develop ML models, training pipelines, and inference systems using Python, PyTorch, and related tools.

This flexible, coding-heavy position requires advanced degrees and demonstrated ML experience; the work is task-based with immediate start and around 15 hours weekly.