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

AIML - Machine Learning Research, Multimodal Foundation Models
Apple —Zürich, ZH
- Informatik
- Doktorat
- Python
AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Wissenschaftliche/-r Mitarbeiter/-in im Rahmen der internationalen Entwicklungszusammenarbeit
MeteoSchweiz —Zürich, ZH
- Teilzeit
- Informatik
- Englisch
- Python
- Homeoffice-Möglichkeit
1 Tag
Senior NLP Data Scientist
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Master
Vision & Perception Engineer - Humanoid (human)
Neura Robotics —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Direkt bewerben
Senior Digital Signal Processing Engineer
u-blox —Thalwil, ZH
- Homeoffice
- Doktorat
- Master
- Analysefähigkeit
- Homeoffice-Möglichkeit
Research Software Engineer, Generative AI
Google —Zürich, ZH
- 100%
- Doktorat
- C++
- Bachelor
Professional Process Automation & AI Engineer (Financial Services), 80-100%, Zürich
VermögensZentrum —Zürich, ZH
- Management-Erfahrung
- SQL
- Python
ICT System Engineer Linux (all genders)
BSI Software AG —Baar, ZG
- 100%
- Englisch
- Master
- Bachelor
Senior AI Engineer – Robotics & Embodied AI
F&P Robotics AG —Glattbrugg, ZH
- 100%
- Englisch
- Master
- Analysefähigkeit
1 Tag
Instrumentation and Test Engineer
Proxima Fusion —Zürich, ZH
- 100%
- Python
Field Robotics Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- Montage
- C++
Vision & Perception Engineer - Humanoid (Mensch)
Neura Robotics GmbH —Zürich, ZH
- 100%
- Datenanalyse
- Master
- C++
Research Engineer - Generative Humanoid Motion Generation
Flexion Robotics —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
PhD in Network Science: Modeling of Animal Networks
Universität Zürich —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Forschungserfahrung
- Weiterbildungen
Senior Data Scientist
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Doktorat
- Englisch
- Homeoffice-Möglichkeit
Big Data & Platform Engineer 80-100%
AMAG Group —Cham, ZG
- Teilzeit
- Englisch
- SQL
- Python
Internship - Humanoid Motion Generation (Diffusion or Flow Matching)
Flexion Robotics —Zürich, ZH
- Doktorat
- Master
- Softwareentwicklung
Direkt bewerben
Systems Engineer (Excavator Automation)
Gravis Robotics —Zürich, ZH
- 100%
- Baumaschinen
- Englisch
- C++
11 Tage
Navigation Software Design Engineer
u-blox —Thalwil, ZH
- Homeoffice
- Doktorat
- Englisch
- Master
- Homeoffice-Möglichkeit

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AIML - Machine Learning Research, Multimodal Foundation Models

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Informatik
Doktorat
Python

Vollständige Stellenbeschreibung

Apple is where individual imaginations gather together, committing to the values that lead to great work. We are a group of engineers and researchers building multimodal foundation models at Apple, with a particular focus on image understanding and generation. We build infrastructure, datasets, and models with fundamental general capabilities and work with a cross-functional partners to apply these models to ship features to millions of users. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions of users.

Preferred Qualifications
A track record in applying deep learning techniques to shipping products
Multi-modal perception for existing products and future hardware platforms
On-device intelligence and learning with strong privacy protections
Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
Ability to collaborate closely with globally distributed teams.

Minimum Qualifications
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
Deep understanding of multi-task, multi-modal machine learning domain
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
PhD, or equivalent practical experience, in Computer Science, or related technical field

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

AIML - Machine Learning Research, Multimodal Foundation Models

AIML - Research Scientist, Health

Wissenschaftliche/-r Mitarbeiter/-in im Rahmen der internationalen Entwicklungszusammenarbeit

Senior NLP Data Scientist

Vision & Perception Engineer - Humanoid (human)

Senior Digital Signal Processing Engineer

Research Software Engineer, Generative AI

Professional Process Automation & AI Engineer (Financial Services), 80-100%, Zürich

ICT System Engineer Linux (all genders)

Senior AI Engineer – Robotics & Embodied AI

Instrumentation and Test Engineer

Field Robotics Engineer

Vision & Perception Engineer - Humanoid (Mensch)

Research Engineer - Generative Humanoid Motion Generation

PhD in Network Science: Modeling of Animal Networks

Senior Data Scientist

Big Data & Platform Engineer 80-100%

Internship - Humanoid Motion Generation (Diffusion or Flow Matching)

Systems Engineer (Excavator Automation)

Navigation Software Design Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning python in zürich, zh erhalten

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