Founding ML Engineer

Weave•San Francisco, CA

2d•Onsite

About The Position

Weave (YC W25) is building the definitive platform for understanding and improving how engineering teams work. We believe the way engineering output is measured today is fundamentally broken and that modern AI can give teams a far more accurate and actionable view of productivity, impact and collaboration. Trusted by 150+ customers such as Robinhood, Rho, PostHog and Browserbase, we’ve delivered consistent double-digit month-over-month revenue growth since May and are looking to accelerate our growth. As Weave’s Founding ML Engineer, your job is to build ML systems to understand and improve the work that software engineers do. You’ll be building our processes and standards as you go to make building every incremental feature and subsequent model easier. Your goal will be to delight customers with intelligence that makes their job 10x easier. We’ve raised a $4.2M seed round and are backed by Moonfire, Burst capital and Y Combinator (W25). This is a rare opportunity to join at the ground floor and shape how millions of engineers and leaders understand engineering work. Weave is rethinking engineering output from first principles. We use AI to: Understand how engineers actually work (not just what they ship) Surface meaningful insights about productivity, quality, collaboration and impact Help teams improve outcomes without vanity metrics or surveillance Our goal is not to optimize for “more output,” but for better engineering.

Requirements

Formidable engineer: stops at nothing to accomplish goals.
Pragmatic: knows when to let little fires burn and when to break out the extinguisher.
Experience with shipping ML systems to production, end to end (from selecting an appropriate data set, to feature engineering, to model design, to deployment & iteration).
Very good engineer committed to becoming a great engineer.
Empathetic: able to understand how other people think and why.
Cares about helping other software engineering teams be great.
Excellent communicator.
Gritty: accustomed to picking the hard option and pushing through it.

Nice To Haves

Experience with React, TypeScript, Go, or Python.
Experience with engineering productivity and how to improve it.

Responsibilities

Build ML systems to understand and improve the work that software engineers do.
Build our processes and standards as you go to make building every incremental feature and subsequent model easier.
Delight customers with intelligence that makes their job 10x easier.
Understand how engineers actually work (not just what they ship).
Surface meaningful insights about productivity, quality, collaboration and impact.
Help teams improve outcomes without vanity metrics or surveillance.