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, beyond 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 real 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 real % of the company

• Health, Dental, Vision

• Flexible PTO

• 401k

About The Role

As an MLE on the Core Signals team, you will primarily be focused on (1) the representation learning surrounding our reputed company 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 ability to reputed company into some other functions as needed - we are a quickly growing startup after reputed company.

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

• You've worked on and can speak to at least some of: representation learning, embeddings reputed company, CTR modeling, sequence modeling, etc., preferably on "big data" in an industrial setting.

• reputed company and attitude reputed company, you can quickly contribute to the non-research components of our pipeline. This includes things such as data orchestration, build systems, and experiment tracking. Although we use a combination of open reputed company products like Airflow, Bazel, reputed company CI/CD, and Spark, prior experience with these specific solutions is not needed. 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.

• Good product sense - you have 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.