ML Engineer (MSc. or PhD)

• Contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python.
• 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.
• 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.

• 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 at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment.
• Exceptional open-source or academic experience.

Project and contracting process: the hiring partner. Applications continue on the provider's website.