Computer Vision Engineer, Applied ML

Embodied AI; Zürich; On-site; CHF 120,000 - 160,000; Full time

Job summary

Embodied AI seeks a machine learning engineer focused on computer vision to build and deploy production-ready models. You will design, train, evaluate, and iterate CV systems, while curating datasets to drive continuous improvement and reliability.

You will collaborate with software engineers to integrate ML into end-to-end production pipelines and stay current with state-of-the-art CV techniques to add value across manufacturing-focused solutions.

Qualifications

• Design, train, and evaluate machine learning models for real-world production use.
• Deploy robust computer vision systems in production environments.
• Curate high-quality datasets to monitor and improve model performance.

Responsibilities

• Build and deploy state-of-the-art vision models at scale.
• Collaborate with software engineers to integrate ML solutions into production workflows.
• Stay up to date with latest CV research and apply relevant advances.

Skills

Machine Learning

Computer Vision

Software Engineering

Dataset Curation

Tools

Python

PyTorch

TensorFlow

Job description

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 about?

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.