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Computer Vision Engineer, Applied ML

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EMP:Technology
Zürich, Zürich, Switzerland
Tiempo Completo
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Descripción

Ethon was built to eliminate the trillion-dollar waste problem in manufacturing.

We are the technology leader in Industrial AI, building agentic workflows that help manufacturers optimize cost, quality, and speed of production.

We are a fast-growing team driving massive impact in one of the largest and most under-served industries in the world.

We serve the world’s top manufacturers across the globe.

From Siemens and Bosch to Lindt and Roche, our customers trust us to make their factories run better.

We are backed by leading investors like Index Ventures, General Catalyst, and Earlybird.

Our team draws from Google, Meta, Palantir, MBB, and top manufacturing companies, all here for the same reason: giving manufacturers the technology to run every factory at unprecedented productivity.

What is this job.

Acerca de

?In this role, you will operate at the intersection of applied machine learning and software engineering, building and deploying computer vision systems in real-world environments.You will design, train, evaluate, and debug machine learning models, taking solutions from early prototypes through to robust, production-ready deployments

A part of your work will involve curating high-quality datasets to support model performance and continuous improvement.

You will build and apply state-of-the-art vision models, staying up to date with the latest advancements and integrating new approaches where they add value.

First and foremost, we believe in curious people who are eager to learn and grow.

If you’re passionate about cutting-edge tech and driving major impact in manufacturing, we want to hear from you.

Please also reach out if you don’t check all the points mentioned here.

What do you need to succeed in this role?Must-Haves:Strong technical foundation in computer science with focus on computer vision (CV) and machine learning (ML), whether gained through formal education or substantial real-world experienceSolid understanding of core ML and CV concepts, including trai.

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