ML Engineer

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

This is a fully remote position, open to candidates based in United States.

Pay: $80–$150/hr

ML Engineer

Pay: $80–$150/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired

We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.

The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.

This is a very coding heavy role. Candidates but have experience using coding agents with python in their workflow.

What You’ll Work On

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

Required Qualifications

1. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
2. Strong professional or research experience in machine learning.
3. Practical proficiency with Python and coding agents.

Relevant tools may include:

1. PyTorch
2. JAX
3. NumPy and SciPy
4. SGLang
5. vLLM
6. llama.cpp
7. Hugging Face Transformers
8. Hugging Face Tokenizers

Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.

Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify.

Process

1. Apply to the role and complete the screening questions.
2. Complete an AI interview of approximately 30 minutes.
3. Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability

1. We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours of completing onboarding.

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