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

Engineer III, AI/ML, Online Calibration, XR
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
1 Tag
Internship in Engineering - Automation, Robotics, and Related Fields (60 – 100%, 9-12 Months)
Treeless AG —Schlieren, ZH
- CAD
- Englisch
- SQL
Direkt bewerben
1 Tag
Master Thesis Student. Procurement Analytics & Material Intelligence
Sika —Zürich, ZH
- Master
- Analysefähigkeit
- Python
5 Std.
PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Forschungserfahrung
1 Tag
AI Engineer
Partners Group —Baar, ZG
- Master
- AWS
- Bachelor
22 Std.
Research Scientist, Frontier AI, DeepMind
DeepMind —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Erfahrung mit Netzwerken
22 Std.
Data Engineering Consultant (w/m/x)
Avanade —Zürich, ZH
- Homeoffice
- Englisch
- SQL
- Python
21 Std.
Senior (Gen)AI Engineer (all genders) 80–100%
ictjobs.ch —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
- Pendlerbeitrag
- Eltern-/Erziehungsurlaub
1 Tag
Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
1 Tag
PhD position: Multi-temporal forest canopy height reconstruction from satellite data
Universität Zürich —Zürich, ZH
- Teilzeit
- Homeoffice
- Doktorat
- Master
- Linux
- Weiterbildungen
2 Std.

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Engineer III, AI/ML, Online Calibration, XR

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 1 Tag

Leistungen

Unterkunft

Qualifikationen

Doktorat
Master
C++
Bachelor
Softwareentwicklung
Python
Debugging

Vollständige Stellenbeschreibung

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience developing in C++ or Python.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Knowledge of Inertial Measurement Unit (IMU), camera, and magnetometer sensor models and calibration techniques.

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. 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

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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

Engineer III, AI/ML, Online Calibration, XR

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

Master Thesis Student. Procurement Analytics & Material Intelligence

PhD Position in AI-Supported Resilience Assessment of Climate-Neutral Transport Infrastructure

AI Engineer

Research Scientist, Frontier AI, DeepMind

Data Engineering Consultant (w/m/x)

Senior (Gen)AI Engineer (all genders) 80–100%

Tech Lead Manager, Freshness and Factuality, GeminiApp, DeepMind

PhD position: Multi-temporal forest canopy height reconstruction from satellite data

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