Machine Learning Engineer

Role overview

A machine learning engineering role focused on taking models from notebook experimentation through to production deployment inside products that real users interact with every day. The position sits at the intersection of applied research and product engineering, with an emphasis on shipping reliable, integrated ML capabilities rather than purely exploratory work.

Responsibilities

- Move machine learning models from research notebooks into production environments. - Build, integrate, and maintain ML components inside customer-facing products. - Collaborate with product and engineering teams to ensure model behavior meets real-world usage requirements.

Requirements

- Demonstrated ability to ship machine learning models into production, not only prototype them. - Solid software engineering skills alongside ML knowledge. - Comfort working inside product codebases where models are a part of a larger system.

*Note: Source material for this role is brief. Candidates should expect to clarify scope, seniority, stack, and team structure during the interview process.*