Machine Learning Engineer - Applied / Product (Multiple Positions & Levels)

Headquarters: United States 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 intent 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 believe that every employee should be empowered to own 0-1 contributions and have the opportunity to achieve 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 Microsoft and Databricks 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 @ 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 Bonus structure for qualifying employees Meaningful equity & financial upside - a real % of the company Health, Dental, Vision Flexible PTO 401k 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. 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 role involves a large degree of 0-to-1 developmen