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Hiring now · posted today Tech Contract · Remote

ML Engineer (MSc. or PhD)

$60–$120/hr

Published pay. The final rate depends on your test, experience and country.

Remote · Worldwide 100 openings Language: English Posted 16 Oct 2026

About this role

Senior ML Engineer (MSc. or PhD)

Pay: $60–$120/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

  • 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.

Required Qualifications

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

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

  • Apply to the role and complete the screening questions.
  • Complete an AI interview of approximately 30 minutes.
  • 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

  • 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.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.

Machine Learning

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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $600–$1,200 and 20 hours about $1,200–$2,400 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Openings
100 openings means this is a high-volume project. You are not competing for one seat: if you pass the test, there is room for you.
Location
Open worldwide in the countries the employer accepts. Payments usually go out through services like PayPal or Wise, so check one of them works in your country.
Credentials
The listing asks for a PhD. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for data scientists
  • Check data leakage, metric choice and baselines before anything else.
  • Rebuild key numbers in a notebook when you can.
  • Explain trade-offs in plain language; reviewers value clarity.
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