Senior ML Engineer
Summary
Fully remote contractor role (~15 hrs/week, fully flexible schedule) contributing to an AI training project: the engineer creates, solves, reviews, and validates challenging ML engineering tasks — building models, training/inference pipelines, and optimizing performance in a coding-heavy Python workflow using AI coding agents. Open to candidates in NAMER, LATAM, Europe, and selected Asian and Afri
Role: Senior ML Engineer (MSc. or PhD).
Location: Global, fully remote.
Job Type: Contractor (~15 hours per week).
Schedule: Flexible-you choose the hours and days you work, including weekends if desired.
Geographic Eligibility: NAMER, LATAM, Europe, South Korea, Japan, Bangladesh, Egypt, Singapore and Lithuania.
Project Overview:
- We are looking for highly skilled Machine Learning Experts to contribute 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.
- A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements.
- This is a very coding heavy role.
- Candidates must have experience using coding agents with Python in their workflow.
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.
Required Qualifications:
- 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.
- Equivalent tools may also 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.
Location: Remote - Anywhere
Skills required for this job:
- Autonomous AI coding agents
- Machine learning
- Python