Machine Learning Engineer

Role overview

A machine learning engineering role centered on taking models from notebook experimentation through to production deployment inside products that real people use daily. The role bridges applied ML and product engineering, prioritizing shipped, reliable model integrations over purely exploratory work.

Responsibilities

- Transition ML models out of research notebooks into production environments. - Embed and maintain model-driven features within consumer-facing products. - Partner with product and software engineering colleagues to deliver ML behavior that holds up under real usage.

Requirements

- Hands-on experience taking machine learning models to production rather than stopping at prototypes. - Strong software engineering fundamentals in addition to ML expertise. - Ability to operate inside a product codebase where models are one part of a broader system.

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