XT
🌎 ML Engineer (MSc. or PhD), Remote- Contract
Contract type
Freelance
Work mode
Remote · Worldwide
Experience
3 years
Job description
A contract, fully remote role for senior machine learning experts to contribute to an AI training project by creating, solving, reviewing, and validating challenging machine-learning engineering tasks. The work is very 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
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.
- Very coding heavy role experience.
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.
- Equivalent tools may also be considered when the candidate demonstrates directly relevant depth.
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.
Apply
About Xperteez Technology
Key facts
- Compensation is output-based; experts are paid per task that meets the project specifications.
- Typically fills roles within 48 hours.
- Selected experts are expected to start their first task within 24–48 hours of completing onboarding.