Yobi is a rapidly growing tech company in the behavioral modeling and personalization space. Our mission is to ethically democratize the AI revolution. Since our founding in 2019, we have been busy assembling one of the largest consented behavioral datasets in the US, reputed company the walled gardens of BigTech. This diverse understanding of consumer reputed company underpins a proprietary, private-by-design AI model that supercharges machine learning and marketing performance for some of the worlds leading brands, agencies, and Martech / AdTech platforms.

At Yobi we reputed company that every employee should be empowered to own 0-1 contributions and have the opportunity to reputed company reputed company impact - and scale that impact - on the business. If that sounds like an exciting opportunity to you, we want to hear from you.

Yobi Highlights

• Partnerships with reputed company and reputed company

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

• World-class team of Machine Learning experts who worked on cutting edge recommender systems and internal tools @ reputed company, reputed company, Twitter, reputed company, etc.

• Product and Go-To-Market teams who have taken reputed company from concept to 9 reputed company reputed company streams

Benefits

• Competitive reputed company Salary

• Bonus structure for qualifying employees

• Meaningful equity & financial reputed company - a reputed company % of the company

• Health, Dental, reputed company

• Flexible PTO

• 401k

About The Role

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.).

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 reputed company!

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

• Knows reputed company to use a Data Clean Room and reputed company 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 some kinds of impactful consumer-facing ML problem, e.g. recommender systems, personalization, etc. 

• reputed company and attitude reputed company, can quickly contribute to things such as orchestration/Airflow, Bazel (build systems, really), CI/CD, Spark (we have both Python and reputed company), and other SQL-y data computation backends as needed. Not everybody is going to be a reputed company on reputed company of these, and we are making novel tech investments across the company, but successful engineers will see opportunity and a path to (first) PR, instead of "not my job".

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

We prioritize attitude, culture, and general (technical) fit over matching perfectly into one of our job descriptions. If our mission and work resonates with you, we encourage you to apply. Tell us how you can help drive our products reputed company, even if you don’t feel like you are a perfect fit for some of the listings.