Machine Learning Engineer - Data Monetization (Multiple Positions & Levels)

Yobi is a well-funded and rapidly growing tech company in the behavioral modeling and personalization space. Our goal is to assemble the largest consented user-behavioral dataset in the world outside the walled gardens of BigTech, and supercharge user acquisition and AI/ML workloads at companies.

At Yobi, you would own 0-1 contributions and have a real impact on the business as we scale further.

Yobi Highlights:

• Profitable

• Partnerships with Microsoft and Databricks

• Over $100M in non-dilutive capital from MSFT

• Team of ML Experts who worked on cutting edge recommender systems and internal tools @ Amazon, Uber, Twitter, Meta, etc.

• Experts on the Product and Go-To-Market fronts who have taken ideas from concept to 9 figure revenue streams

Joining Yobi includes:

• Competitive Base Salary

• Meaningful equity - a real % of the company

• Growth and Ownership! We are doubling the team from 15 to 30+

• Full remote or hybrid from several hubs (Boston, SF Bay Area, Seattle, NYC)

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As a MLE on the Data Monetization team, you will primarily be focused on building the best systems to ingest partner data in a privacy-safe way, and getting the most out of the data to power the rest of our models and products.

This role involves a lot of collaboration with the Product org and working with customers directly in order to build private-by-design technology (embedding models where one party controls the code and the other controls the data, provably encrypted ways to share identifiers, etc.).

A good amount of "wearing your Product hat" is expected, as well as 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:

• Can think creatively about data - are there ways to extract signal from partially obfuscated sources?

• Knows when to use a Data Clean Room and when it's just a buzzword

• Understanding enough about machine learning to be dangerous but not necessarily published in field

  • Worked on and can speak to at least some of embedding drift, CTR modeling, sequence modeling, creating user embeddings, etc.

• Skill and attitude wise, can quickly contribute to things such as Airflow, Bazel (build systems, really), CI/CD, ScalaSpark, PySpark as needed. Not everybody is going to be a rockstar on all of these, but we need people who will look at it and see opportunity and a path to (first) PR, versus a "not my job".

• Good product sense, has opinions on what we should and shouldn’t be doing both in chasing product-market fit and on the implementation side.

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We prioritize attitude, culture, and general (technical) fit over fitting perfectly into one of our job descriptions. We are well-funded and opportunistic in hiring. Please don’t hesitate to apply if our mission and work resonates with you, and you feel you can help drive our products forward.