Senior Machine Learning Engineer

An early-stage AI company building a next-generation personal assistant designed to handle everyday tasks — communication, scheduling, organizing, follow‑ups — with little to no user input required. The core engineering challenge is reliability: getting AI systems to execute multi‑step, long‑running workflows consistently, even when the underlying models behave unpredictably. The product aims to meaningfully cut down the time people spend on daily admin and coordination.

A senior, individual‑contributor ML engineering position with full ownership of key production ML systems. This person will take vague, open‑ended problems and turn them into working, scalable solutions — not a research‑only role, but one grounded in shipping and maintaining live systems.

• Design and build the ML infrastructure behind a long‑running, proactive AI product
• Own the full lifecycle — data, training, evaluation...