Tomra
Design, implement, test, deploy, and maintain production-grade machine learning systems focused on data and model-centric solutions. The role involves building end-to-end ML pipelines, deploying optimized models for inference on cloud and edge devices, and developing robust software engineering practices. You will collaborate with internal teams to serve models for industrial machine applications while ensuring data security and compliance.
TOMRA is a global provider of sensor-based collection and sorting solutions that enable circular economy practices across recycling, food and mining industries. Its product portfolio includes reverse vending machines for beverage container returns, optical/NIR/X-ray sorters and automated robotic systems for recycling and food processing, plus digital services that deliver data-driven insights and operational optimization. TOMRA works with municipalities, retailers, producers and industrial customers to recover material value, improve product quality and reduce waste. Founded in Norway and operating worldwide, the company positions sustainability and resource efficiency at the core of its offerings.
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
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