Computer Vision Engineer, Applied ML

Ethonai, a leader in Industrial AI, seeks a Mid-level Computer Vision Engineer in Zürich to develop and deploy machine learning models for manufacturing optimization. The role involves building production-ready vision systems with a hybrid work model and competitive benefits including stock options and learning budget.

Ethonai was founded to address massive waste in manufacturing by delivering agentic AI workflows that enhance production cost, quality, and speed. The company serves global industry leaders like Siemens, Bosch, Lindt, and Roche, and is backed by top investors including Index Ventures and General Catalyst. The team combines talent from Google, Meta, Palantir, and top manufacturing firms, united by a mission to revolutionize factory productivity.

Responsibilities

• Develop, train, test, and debug machine learning models, moving them from initial prototypes to reliable, production-grade systems.
• Gather and refine high-quality datasets to support model accuracy and ongoing enhancement.
• Implement cutting-edge computer vision models, incorporating recent innovations where they improve outcomes.
• Bridge applied machine learning and software engineering to deploy vision systems in real-world manufacturing settings.

Requirements

• Solid background in computer science with emphasis on computer vision and machine learning, gained through education or hands-on experience.
• Deep grasp of core ML and CV principles such as training behavior, generalization, bias-variance tradeoffs, evaluation methods, and common model failures.
• Practical experience in training models: setting up training loops, troubleshooting convergence, tuning hyperparameters, and evaluating performance on real computer vision tasks.
• Proven experience deploying a model or computer vision pipeline in production or near-production environments with real users, beyond research or internal projects.
• Strong verbal and written communication skills in English.
• High drive to thrive in a fast-moving, dynamic environment.

Nice to have

• Specialized knowledge in visual quality, defect, or anomaly detection.
• Experience with model deployment tools like ONNX and foundational MLOps practices.
• Familiarity with techniques for visualizing model internals and improving explainability.

What the company offers

• Career progression and growth opportunities based on performance.
• On-site work with flexible scheduling options.
• Competitive pay package including stock options to share in Ethonai’s future success.
• Vacation bonus for taking two consecutive weeks off.
• Flexible parental leave policy.
• Dedicated learning budget for courses, conferences, and coaching.

About the company

Ethonai operates from its central Zürich office, where team members are expected to be present at least three days per week to tackle complex challenges collaboratively. The company emphasizes rapid feedback, direct access to founders, and rapid advancement for those who demonstrate capability and initiative.

• Collaborative problem-solving in person at the Zürich office, at least three days per week.
• Short feedback cycles and direct access to leadership.
• Rapid career growth for high performers who take on meaningful responsibilities.