Machine Learning Engineer - Core Signals

About the role

Yobi is a rapidly growing Behavioral AI company on a mission to ethically democratize the benefits of data and AI.

Since 2019, we have built one of the largest consented behavioral datasets in the United States, extending far beyond the walled gardens of Big Tech. Unlike traditional LLM companies, Yobi builds foundation models of human behavior grounded in real-world actions such as purchases and store visits.

Our private-by-design modeling enables state-of-the-art personalization and decisioning for leading brands and agencies while protecting privacy, safety, and ethics.

Today, we are focused on bringing the performance of closed-web user acquisition to the open web and connected TV, giving brands walled-garden results without the walls.

At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision.

Working at Yobi

We’re at an inflection point—customer adoption is accelerating, but there’s still room to shape the architecture and culture from the ground up. Engineers here own major surface areas, build 0→1 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.

Highlights:

- Partnerships with Microsoft and Databricks

- Fully remote or hybrid from several hubs (SF Bay Area, Seattle, NYC)

- World-class team of Machine Learning experts who worked on cutting edge infra and recommender systems @ Amazon, Uber, Twitter, Meta, etc.

- Product and Go-To-Market teams who have taken ideas from concept to 9 figure revenue streams

Benefits:

- Competitive Base Salary

- Meaningful equity & financial upside - a real % of the company

- Annual bonus target based on personal and company performance

- Health, Dental, Vision available

- Unlimited PTO - we care about impact, not tracking days you’re out

- 401k with company match %

- Generous parental leave policy

ABOUT THE ROLE

As an MLE on the Core Signals team, you will primarily be focused on (1) the representation learning surrounding our fundamental user-behavioral modeling problems and (2) using those core models to power new and existing products.

This role involves a lot of collaboration with the Product org and Applications team to realize these R&D gains - but is ultimately a "full stack" ML role. Day to day responsibilities include data processing, model training, deployment, and evaluation.

A good amount of "wearing your Product hat" is expected, as well as the ability to flex into some other functions as needed - we are a quickly growing startup after all.

WHAT IT TAKES TO SUCCEED IN THIS ROLE:

- You understand enough about machine learning to be able to apply it to novel problems and suggest improvements to our current setup, or even radical new approaches. Previous publication experience is not required.