Yobi

Machine Learning Engineer - Applied / Product

Remote (US + Canada Only)

Sponsorship not specified$180k-$275kDetected 734 days ago

Full-Stack DevelopmentGitDatabricksCI/CDMachine LearningSparkAirflowLLMsA/B TestingCollaboration

About the role

At Yobi, Applications teams bring the value in our User-Behavioral foundation models to market, creating scalable, highly profitable products with ML at their heart.
These Applications products are key to Yobi success, as they ground the value of our R&D, power continuous experimentation and improvement, and provide significant data for improving our core embeddings.
While we currently have a product in the market here, we invite big bets to expand impact and reach.

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.
At our core, Yobi is building the behavioral intelligence layer for any system that makes a personalization decision.
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.
As an MLE on this team, you will primarily be focused on the models, metrics, pipelines, systems, and services that power and deliver excellence via Yobi Applications products.
This includes things such as data orchestration, build systems, and experiment tracking.
Tell us how you can help drive our products forward, even if you don't feel like you are a perfect fit for some of the listings.

This role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products.
This means you have worked on and can speak to impactful consumer-facing ML problems, e.g. recommender systems, personalization, etc. that you have directly contributed to.
Although we use a combination of open source products like Airflow, Bazel, Github CI/CD, and Spark, prior experience with these specific solutions is not needed.
Skill and attitude wise, you can quickly contribute to the "full stack" of our pipeline.
Significant "wearing your Product hat" is expected, along with driving results in the many domains required to deliver whole ML-powered products - we are a quickly growing startup after all!

$180,000-$275,000
A reasonable estimate of the current base salary range at the time of posting is below.
Base salary does not include other forms of compensation or 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
Understanding enough about machine learning to be dangerous but not necessarily published in the field.
Base salary does not include other forms of compensation or benefits.
Yobi is a rapidly growing Behavioral AI company on a mission to ethically democratize the benefits of data and AI.

Well-funded with 5+ years of runway. At the same time, we are scaling revenue quickly and project to be breakeven in 2026.
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
If our mission and work resonates with you, we encourage you to apply.
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.
However, a good part of your day to day will involve interacting with these systems, so you should be comfortable with getting your hands dirty.

This listing is sourced directly from Yobi's careers page and normalized into a canonical job model.