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Machine Learning Engineer - Remote

YO AI Labs · Remote (United States)

$125k - $250k
Remote
Full-time
Mid

Posted January 21, 1970

Check your resume against this jobApply on Himalayas
AI Summary

YO AI Labs is seeking experienced Machine Learning Experts for a fully remote, contract role of about 15 hours per week to support AI training projects. The work centers on coding-intensive tasks: developing and validating ML models and training pipelines, building inference systems and evaluation frameworks, optimizing memory and compute efficiency, and debugging through reproducible workflows, primarily in Python with coding agents.

Job Description

Machine Learning Expert

Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible

Job Summary

We are seeking experienced Machine Learning Experts to support AI training projects involving model development, training pipelines, inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring strong Python skills and experience using coding agents.

Key Responsibilities

  • Develop and validate machine learning models and training pipelines.
  • Build inference systems, data pipelines, and evaluation frameworks.
  • Implement model components and numerical methods.
  • Optimize memory usage, computational efficiency, and system performance.
  • Debug technical issues and validate correctness through reproducible workflows.
  • Use Python, command-line tools, and coding agents to complete engineering tasks.

Required Qualifications

  • Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
  • Strong professional or research experience in machine learning.
  • Practical proficiency in Python and coding agents.
  • Experience with model development, training, inference, or performance optimization.

Preferred Qualifications

  • Experience at a technology company, AI laboratory, research organization, or established engineering team.
  • Strong academic research or open-source contributions.

Selection Process

  1. Submit an application and complete screening questions.
  2. Complete an approximately 30-minute AI interview.
  3. Complete the hiring manager review.

Availability

Candidates should be ready to begin promptly, with the first task expected within 24–48 hours after onboarding.

Originally posted on Himalayas

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