11 beste Stellen als machine learning python in zürich, zh – aktuell auf Personalsuche

Computer Vision Software Engineer, Calibration and Spatial Sensing
Google —Zürich, ZH
- 100%
- Doktorat
- Bachelor
- Ohne Hochschulabschluss
6 Std.
Senior Data Engineer
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Englisch
- Java
- Homeoffice-Möglichkeit
(Senior) KI-Berater (w/m/d), 80-100%
emineo AG —Baar, ZG
- Englisch
- SQL
- Führungserfahrung
Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Lead Kernel Engineer/Architect
EPAM Systems, Inc. —Zürich, ZH
- C++
- Bachelor
- Ohne Hochschulabschluss
- Eltern-/Erziehungsurlaub
- Pensionskasse
DevOps Engineer /Deployment Manager
b-rayZ AG —Zürich, ZH
- Teilzeit
- Management-Erfahrung
- Englisch
- AWS
Data Architect mit einem Flair für AI
ti&m AG —Zürich, ZH
- Englisch
- Java
- Master
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung
EY —Zürich, ZH
- Doktorat
- Englisch
- Master
- Weiterbildungsprogramme
Internship in Engineering - Automation, Robotics, and Related Fields (60 – 100%, 9-12 Months)
Treeless AG —Schlieren, ZH
- CAD
- Englisch
- SQL
Direkt bewerben
1 Std.

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Computer Vision Software Engineer, Calibration and Spatial Sensing

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 6 Stunden

Leistungen

Unterkunft

Qualifikationen

Doktorat
Kalibrierung
Bachelor
Sensoren
Python

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
5 years of experience programming in Python.

Preferred qualifications:

PhD degree or equivalent experience in one of the following areas: Computer vision, machine learning, sensor fusion, image processing, deep learning, simultaneous localization and mapping (SLAM), sensor calibration, semantic perception.
Experience driving end-to-end development of computer vision systems from initial research to production-quality code landed in demos/products.
Experience developing high-performance computer vision systems for real-time applications on mobile platforms.
Track record of publications in computer vision or robotics.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where
lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.

Responsibilities

Develop foundational world-sensing technology that enables devices to track and understand their surroundings.
Optimize the performance of the world-sensing stack to enable precise spatial localization, potentially leveraging the visual positioning service (VPS) and multi-device sensor fusion to achieve sub-meter, real-time accuracy within a tight power budget.
Collaborate with stakeholders to define requirements and drive end-to-end algorithmic design, while leading research initiatives to solve the most difficult skip to main content technical issues facing consumer XR devices on commodity hardware.
Focus on a large-scale localization and geospatial sensor fusion, design and implement next-generation components for spatial sensing and calibration.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

Computer Vision Software Engineer, Calibration and Spatial Sensing

Senior Data Engineer

(Senior) KI-Berater (w/m/d), 80-100%

Quant Engineer - Capital Market Technologies

Senior Software Engineer - Distributed Systems

Lead Kernel Engineer/Architect

DevOps Engineer /Deployment Manager

Data Architect mit einem Flair für AI

Mid / Senior SLAM Engineer

Manager / Senior Consultant - Financial Risk Management mit Fokus Kreditrisiko-Modellierung

Internship in Engineering - Automation, Robotics, and Related Fields (60 – 100%, 9-12 Months)

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