12 meilleures offres (applications engineer computer vision, zürich, zh) (à pourvoir)

Machine Learning Engineer
Destinus —Zürich, ZH
- 100%
- Travail hybride
- Niveau Doctorat
- Recherche
- Niveau Master
Postuler rapidement
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Artifact —Zürich, ZH
- 100%
- Anglais
- Niveau Master
- SQL
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Verity —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- C++
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Julius Baer —Zürich, ZH
- 100%
- Gestion du personnel
- Anglais
- Niveau Master
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Meta —Zürich, ZH
- Niveau Doctorat
- Analyse de données
- Recherche
Senior Reinforcement Learning Engineer
ANYbotics —Zürich, ZH
- Heures supplémentaires
- Informatique
- Niveau Doctorat
- Anglais
Product Cybersecurity Manager
Sonova —Stäfa, ZH
- Anglais
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- Niveau Licence
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NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- C++
- Niveau Licence
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Zühlke —Schlieren, ZH
- 100%
- Télétravail
- Microsoft Excel
- Gestion du personnel
- Anglais
- Travail à domicile
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Forward Deployed Engineer III, Google Cloud GTM (French, German)
Google —Zürich, ZH
- 100%
- Niveau Doctorat
- Niveau Master
- Niveau Licence
il y a 10 jours
Director of Sports Science
On AG —Zürich, ZH
- Niveau Doctorat
- Recherche
- Technologies de l'information

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Machine Learning Engineer

Destinus -
Zürich, ZH

Postuler rapidement

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Niveau Doctorat
Recherche
Niveau Master
C++

Description complète du poste

About the role

Imagine building intelligent systems that don’t just work in perfect lab conditions, but perform reliably in the real world, where uncertainty is the norm and failure is not an option. As a Machine Learning Engineer, you will push the limits of computer vision by designing, training, and validating neural networks that operate in complex, safety-critical environments. Your work will directly influence how autonomous systems perceive and interact with the world, combining deep learning, simulation, and rigorous verification into one seamless pipeline.

At Destinus, we are shaping the future of defense through high-speed, autonomous flight technologies. We develop next-generation unmanned aerial systems that deliver greater speed, precision, and efficiency, supporting governments and defense organizations in mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the intersection of advanced research and real-world aviation. Enabling machines to perceive, understand, and make decisions in real time. Together, we combine aerospace engineering and artificial intelligence to build the next generation of autonomous flight systems, driving innovation where it matters most.

What You´ll Do

Design, train, and optimize deep learning models for computer vision tasks in highly dynamic and safety-critical environments
Own the full ML lifecycle, from data strategy and model architecture to deployment and performance monitoring
Develop robust evaluation pipelines to ensure models meet strict reliability and safety requirements
Work on ML certification activities, validating model behavior under defined regulatory frameworks
Leverage transfer learning and simulation to scale training and testing beyond real-world data limitations
Collaborate closely with software, systems, and flight teams to integrate ML models into real-world applications

Requirements

What You’ll Need

Strong programming skills in C++ or Rust
Master’s or PhD in computer science, physics, mathematics, or a related technical field
At least 5 years of hands-on experience in deep learning for computer vision
Experience across the full ML stack, including model design, training pipelines, and evaluation systems
Solid understanding of data-centric AI approaches, including dataset curation and augmentation strategies
Experience with simulation environments or synthetic data generation is a strong plus
Proven ability to tackle complex research problems over extended periods, in both academic and industrial settings

Who You Are

You thrive in environments where problems are hard, ambiguous, and worth solving. You are not just training models, you are engineering systems that must work every time. You think long-term, validate everything, and take ownership of performance in the real world. When others stop at good enough, you keep pushing until it is reliable, scalable, and certifiable.

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applications engineer computer vision emplois - zürich, zh

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