Applied AI Engineer

Role overview

Connect machine learning research with production software by turning experimental models into dependable runtime behavior. The role focuses on integrating and evaluating models for perception and decision-making, then adapting their inference paths to practical system constraints.

Responsibilities

- Integrate and evaluate models used for perception and decision-making. - Improve inference paths to meet latency and safety needs and support observability. - Work with systems engineers to account for deployment constraints.

Requirements

- Experience shipping machine learning systems beyond notebook-based experiments. - Clear communication with cross-functional partners.

Nice to have

- Familiarity with edge computing or robotics constraints.