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
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As a SWE at Yobi, you will be focused on up-leveling us in terms of build systems, deployments, pipelines / orchestration, scaling ML training/inference, integrations to channel partners, and general infrastructure-as-code. We believe that while we are small and nimble, it is best to weave these functions into our "Product" teams. For more context, please see the MLE postings:
Machine Learning Engineer - Data Monetization (Multiple Positions & Levels)Engineering & Science • Remote (US Only) • Full time
Machine Learning Engineer - Applied / Product (Multiple Positions & Levels)Engineering & Science • Remote (US Only) • Full time
Feel free to use this job posting if you find yourself more on the SWE side of the spectrum.
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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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