About this opportunity
Overview
micro1 is seeking 100 Machine Learning Researchers for a fully remote contractor role supporting an AI training project. The work is coding-heavy and centered on machine-learning engineering tasks involving model development, training and inference systems, numerical computing, performance optimization, and Python.
Experts will create, solve, review, and validate challenging machine-learning tasks. Representative work may include implementing or modifying a model, building a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and checking that implementations meet objective correctness and performance requirements.
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.
Requirements
- A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative field.
- Strong professional or research experience in machine learning.
- Practical proficiency with Python and coding agents.
- Ability to work in a highly coding-focused environment.
- Experience at a well-established technology company, AI laboratory, research organization, or similar recognized engineering environment is strongly preferred.
- Exceptional open-source or academic experience may also qualify.
Process
- Apply to the role and complete screening questions.
- Complete an AI interview of approximately 30 minutes.
- Complete hiring manager review.
Schedule and Availability
- Contractor role of about 15 hours per week.
- Flexible schedule; you choose the hours and days you work, including weekends if desired.
- The team typically fills roles within 48 hours and expects selected experts to begin their first task within 24–48 hours after onboarding.
Compensation
Compensation is output-based and paid per task that meets the project specifications. The time required per task may vary depending on experience and workflow.
Minimum submission requirements apply.
