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

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Consultant - Forensic Technology and eDiscovery
EY —Zürich, ZH
- Englisch
- Master
- SQL
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
Senior AI Engineer – Robotics & Embodied AI
F&P Robotics AG —Glattbrugg, ZH
- 100%
- Englisch
- Master
- Analysefähigkeit
2 Tage
ICT System Engineer Linux (all genders)
BSI Software AG —Baar, ZG
- 100%
- Englisch
- Master
- Bachelor
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++
12 Tage
Cloud Operations Engineer (all genders)
BSI Software AG —Baar, ZG
- 100%
- Englisch
- Linux
- Python
Navigation Software Design Engineer
u-blox —Thalwil, ZH
- Homeoffice
- Doktorat
- Englisch
- Master
- Homeoffice-Möglichkeit
Senior Solutions Engineer
Squirro —Zürich, ZH
- 100%
- Homeoffice
- Master
- Datenbanken
- JavaScript
Direkt bewerben

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Forschungserfahrung
Master
Analysefähigkeit
Kommunikationsfähigkeit
Python

Vollständige Stellenbeschreibung

The Personalized AI for Science (PAIS) team is at the forefront of machine learning and health science at Apple. We are a close-knit team of deeply technical AI/ML research scientists who incubate ambitious research ideas and develop new statistical/ML methodologies, ultimately in service of new Apple health and wellbeing applications. We are seeking a research scientist who combines deep learning (and/or signal processing) experience with a rigorous foundation in statistics. The ideal candidate is passionate about model robustness and scientific rigor, ensuring that the models we deploy meet the high evidentiary standards required of health applications.

Description
In this role, you will design, train, and adapt modern deep learning models on unique health data, and apply your statistical expertise to evaluate them rigorously - going beyond aggregate accuracy to interrogate model behavior across populations, distributional shifts, and clinically meaningful subgroups. You will be expected to engage substantively with health as an application area, developing the domain knowledge needed to ask the right modeling questions and evaluate models against the realities of clinical and wellbeing use. You will work closely with collaborators across research and product teams, and contribute to features that ultimately reach a billion Apple devices worldwide.","responsibilities":"Designing, training, and adapting modern deep learning models and architectures on large-scale physiological and behavioral data
Designing rigorous evaluation protocols, including subgroup analyses, robustness to distributional shifts, and characterization of failure modes
Applying statistical methods (hypothesis testing, uncertainty quantification, causal inference, survival analysis) to draw defensible conclusions from observational health data
Translating clinical and product questions into well-posed problem definitions
Engaging with the academic community by publishing papers and presenting your work
Collaborating with product teams across Apple to transition research into deployed health features

Preferred Qualifications
Proficiency in Python and modern ML/analysis stacks, including LLM-based coding and analysis
Excellent communication skills, including the ability to present technical work to clinical and broad technical audiences
Research or applied experience in deep learning and statistical modeling in the health domain (e.g. wearable devices, clinical studies, or electronic health records)
Experience with one or more of: causal inference, survival analysis, time-series modeling, or longitudinal analysis
Experience with rigorous evaluation methodology for ML in clinical or scientific settings, such as benchmarking under controlled distribution shifts, calibration analysis, or regulatory-grade validation
Publications at venues such as NeurIPS, ICML, ICLR

Minimum Qualifications
Hands-on experience designing and training modern deep learning models and architectures, including foundation models, self-supervised pretraining, multimodality, and parameter-efficient adaptation
Experience characterizing and improving the robustness of ML models under distributional shifts that are common in health data (subject variability, device heterogeneity, temporal drift)
Strong foundation in statistics, with the ability to draw defensible conclusions from observational data
Ability to design and execute non-trivial model evaluations beyond standard validation

Jetzt bewerben

Erweiterte Suche

machine learning python Jobs in zürich, zh

AIML - Research Scientist, Health

Consultant - Forensic Technology and eDiscovery

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

Senior AI Engineer – Robotics & Embodied AI

ICT System Engineer Linux (all genders)

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)

Cloud Operations Engineer (all genders)

Navigation Software Design Engineer

Senior Solutions Engineer

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

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