Senior Machine Learning Engineer

Stack

Responsibilities

• ▹Build core ML systems that power a proactive, long-horizon AI product
• ▹Own work end-to-end: data preparation, training, evaluation, inference and iteration
• ▹Turn research ideas into working systems that run reliably in production
• ▹Debug model failures and system issues using real production signals
• ▹Iterate quickly: ship, measure outcomes, refine and repeat
• ▹Collaborate closely with research, product and engineering teams
• ▹Mentor and review work from other ML engineers

Requirements

• ▹Track record of building and shipping ML systems used by real users
• ▹Deep understanding of how modern ML models behave (and misbehave) in production
• ▹Strong, production-quality code and systems thinking
• ▹Independent, ownership-driven work style

Soft skills

About the company

The company's mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands and workflows with minimal prompting. They are a small, high-talent-density, hands-on team that moves at rapid speed while shipping high quality work.