SEKAI
A Senior Machine Learning Engineer at Sekai owns the recommendation and search systems for an AI-driven consumer social platform, directly influencing what content users discover and engage with. This role involves building end-to-end machine learning infrastructure for feed ranking, retrieval, and two-tower models to optimize retention and distribution in a fast-paced startup environment. You will collaborate with cross-functional teams to translate user behavior into actionable signals while shaping the long-term AI architecture of the product.
Headquarters
Basel, Basel-Stadt, Switzerland
Company Size
11-50 employees
Founded
2019
SEKAI is an enterprise digital twin platform that powers the Industrial Metaverse by enabling organizations to build, use, and scale digital twins for real-time operational intelligence. The platform integrates data from IoT, ERP, and other sources to provide immersive spatial collaboration and actionable insights across industries including energy, manufacturing, and transportation. SEKAI combines gaming technology, GenAI, and Web3 capabilities to deliver a single point of truth for industrial operations.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
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SEKAI didn’t post a salary, so this is our estimate from similar listings.
Right around the average for this role
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