9 beste Stellen als machine learning python in kanton zürich – aktuell auf Personalsuche

Engineer III, AI/ML, Online Calibration, XR
Google —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
6 Std.
Computer Vision Software Engineer, Calibration and Spatial Sensing
Google —Zürich, ZH
- 100%
- Doktorat
- Bachelor
- Ohne Hochschulabschluss
12 Std.
Senior (Gen)AI Engineer (all genders)
AXA Insurance AG —Winterthur, ZH
- 100%
- Homeoffice
- Englisch
- Master
- SQL
2 Std.
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben
Quant Engineer - Capital Market Technologies
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Englisch
- Java
Direkt bewerben
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

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Engineer III, AI/ML, Online Calibration, XR

Google -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

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

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 kanton zürich

Engineer III, AI/ML, Online Calibration, XR

Computer Vision Software Engineer, Calibration and Spatial Sensing

Senior (Gen)AI Engineer (all genders)

Senior Software Engineer - Distributed Systems

Quant Engineer - Capital Market Technologies

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

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