Machine Learning Researcher (MSc. or PhD)

micro1
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years

Job description

A contract, fully remote machine learning researcher role contributing to an AI training project by creating, solving, reviewing, and validating challenging machine-learning engineering tasks. The work is coding-heavy and involves model development, training and inference systems, numerical computing, and performance optimization in Python.

At a glance

Employment
Contract · Independent contractor
Work mode
Remote · Worldwide
Pay
USD 60 – 120 / hour

What you'll do

  • 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.
  • Create, solve, review, and validate challenging machine-learning engineering tasks.
  • Implement or modify a model, construct a reproducible training or inference workflow, optimize memory or throughput, debug numerical or system-level failures, and verify that the resulting implementation satisfies objective correctness and performance requirements.

What we're looking for

  • 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.
  • Experience using coding agents with Python in their workflow.

Nice to have

  • 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.

How to get hired

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

Apply