M
ML Engineer (MSc. or PhD)
micro1
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years
Job description
Senior Machine Learning Engineer role contributing 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.
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
- 1Apply to the role and complete the screening questions.
- 2Complete an AI interview of approximately 30 minutes.
- 3Complete the hiring manager review.