Requirements
- Demonstrated expertise in computer science with an emphasis on computer vision and machine learning, acquired through academic training or extensive practical experience
- Thorough grasp of fundamental machine learning and computer vision principles, including model training behavior, generalization, bias-variance balance, assessment techniques, and typical pitfalls
- Proven ability to implement and manage model training workflows, diagnose convergence issues, optimize hyperparameters, and conduct rigorous evaluation on real-world computer vision challenges
- Successfully delivered a computer vision model or pipeline into production or production-like settings serving actual users, beyond experimental or internal use
- Fluent in spoken and written English with strong interpersonal communication abilities
- Highly driven to thrive in a rapidly evolving and demanding work environment
Nice to Have
- Specialized knowledge in visual quality assessment, defect identification, or anomaly detection
- Familiarity with model deployment frameworks such as ONNX and foundational MLOps practices
- Background in interpreting and visualizing model behavior, including techniques for model explainability
Benefits
- Career progression and advancement opportunities based on performance
- On-site work with considerable flexibility in scheduling
- Market-competitive pay package including equity options that align with long-term company success
- Bonus incentive for taking two consecutive weeks of vacation
- Adaptable parental leave policy
- Dedicated budget for professional development, including courses, conferences, and coaching
Compensation
Competitive compensation including stock options giving you a stake in Ethon's long-term success
Work Arrangement
Hybrid — Zürich
Other
Must work from the office located in central Zürich for a minimum of three days per week
