About this opportunity
Overview
micro1 is hiring Junior Machine Learning Engineers for a fully remote, global contractor role supporting an AI training project. The work is coding-heavy and focused on machine learning engineering tasks involving model development, training and inference systems, numerical computing, performance optimization, and Python.
Selected experts will work on challenging machine-learning tasks that may involve 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 correctness and performance requirements.
What You’ll Work On
- Developing and validating machine-learning models, training pipelines, inference systems, and supporting infrastructure.
- Implementing model components, data pipelines, evaluation systems, and numerical methods.
- Building reproducible programmatic workflows with Python and command-line tools.
Requirements
- A BS 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 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.
Start Timeline & Availability
The team typically fills roles within 48 hours and wants experts who can begin immediately. If selected, the first task is expected within 24–48 hours of onboarding.
Compensation
Compensation is output-based and paid per task that meets project specifications. Minimum submission requirements apply.
