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Software Engineer (Multiple Positions & Levels)

extra holidays

Remote:

Full Remote

Work from:

Washington (USA), United States

Offer summary

Qualifications:

Experience in building systems, Knowledge of deployments and pipelines, Background in machine learning infrastructure, None.

Key responsabilities:

Enhance build systems and deployment processes
Scale ML training and inference operations

Yobi AI Startup http://yobi.ai/

11 - 50 Employees

See more Yobi AI offers

Job description

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.

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:

Competitive Base Salary
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.