What are the responsibilities and job description for the Machine Learning Engineer - Applied / Product (Multiple Positions & Levels) position at Yobi, Inc.?
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 the largest consented user-behavioral dataset in the world outside the walled gardens of BigTech. We use that dataset to help companies, big and small, supercharge the work of their Machine Learning and Marketing teams in privacy protective ways.
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
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
- Full remote or hybrid from several hubs (Boston, SF Bay Area, Seattle, NYC)
- 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
Benefits :
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 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. While we currently have a product in the market here, we invite big bets to expand impact and reach.
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!
What it takes to succeed in this role :
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 forward, even if you don’t feel like you are a perfect fit for some of the listings.
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