20 beste Stellen als full stack in zürich zh – aktuell auf Personalsuche

Machine Learning Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
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- 100%
- Informatik
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- 100%
- Python
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Evooq —Zürich, ZH
- 100%
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Lenovo —Zürich, ZH
- 100%
- Englisch
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Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
12 Tage
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Salesforce —Zürich, ZH
- 100%
- Vertrieb
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Senior Research Engineer - Video Foundation Models (Pre - Training)
Synthesia —Zürich, ZH
- 100%
- Hybrides Arbeiten
- AWS
- Kommunikationsfähigkeit
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Benetics AI —Zürich, ZH
- Homeoffice
- Englisch
- Erfahrung im Bauwesen
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Forward Deployed AI Engineer
Omnilex —Zürich, ZH
- Überstunden
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- Englisch
- Master
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Coopérative de la Caisse des Médecins —Urdorf, ZH
- 100%
- Homeoffice
- Englisch
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- Kostenloser Parkplatz
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BLP Digital AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Oracle
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- Master
Enterprise Architect Business Applications
Brack.Alltron AG —Mägenwil, AG
- 100%
- Homeoffice
- Englisch
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AI Platform Engineer (f/m/d)
Digitec Galaxus AG —Zürich, ZH
- Teilzeit
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- Englisch
- Master
Senior Specialist - Group CAPEX
On AG —Zürich, ZH
- Microsoft Excel
- Englisch
- Master
(Senior) Consultant - Technology Consulting - AI & Data (80-100%)
EY —Zürich, ZH
- Doktorat
- Englisch
- Java
Principal Engineer
Roche —Zug, ZG
- 100%
- Management-Erfahrung
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Senior Software Engineer - Observe by Snowflake, Metrics Platform
Snowflake —Zürich, ZH
- Microsoft Excel
- Datenbanken
- Kommunikationsfähigkeit

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Machine Learning Engineer

Destinus -
Zürich, ZH

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Doktorat
Forschungserfahrung
Master
C++

Vollständige Stellenbeschreibung

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.

Direkt bewerben

Erweiterte Suche

full stack Jobs in zürich zh

Machine Learning Engineer

Senior Specialist - Payments & Risks

AI Engineer

PIM Software Engineer

Instrumentation and Test Engineer

Account Manager - Software & Data

Solutions & Services Executive m/f/d

Software Engineer III, Infrastructure

Territory Account Executive, Slack

Senior Research Engineer - Video Foundation Models (Pre - Training)

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Forward Deployed AI Engineer

Senior Backend Engineer – Java / Spring Boot

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AI Platform Engineer (f/m/d)

Senior Specialist - Group CAPEX

(Senior) Consultant - Technology Consulting - AI & Data (80-100%)

Principal Engineer

Senior Software Engineer - Observe by Snowflake, Metrics Platform

Ich möchte aktuelle Job-E-Mails für Stellen als full stack in zürich zh erhalten

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