20 beste Stellen als application scientist in canton of zurich – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Research scientist
Universität Zürich —Schlieren, ZH
- Teilzeit
- Doktorat
- Analysefähigkeit
- Python
- Weiterbildungen
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Doktorat
- Englisch
- Master
Senior Clinical Scientist
CSL Behring —Glattbrugg, ZH
- 100%
- Doktorat
- Master
- Bachelor
11 Tage
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- Doktorat
- Forschungserfahrung
- Master
- Eltern-/Erziehungsurlaub
Senior Data Scientist, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- CHF 232’000 - CHF 253’000 pro Jahr
- 100%
- Datenanalyse
- Master
8 Tage
Scientist in ecological modelling and analysis 80 - 100% (f/m/d)
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- Teilzeit
- Doktorat
- Englisch
- Python
6 Tage
International Fully Funded PhD Positions in the Life Sciences
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
Principal Account Aligned FDE - Data Scientist - German Speaking
Microsoft —Zürich, ZH
- CHF 146’200 - CHF 309’700 pro Jahr
- Überstunden
- Doktorat
- Master
- Bachelor
- Urlaub aus familiären Gründen
3 Tage
Applied AI Scientist
Microsoft —Zürich, ZH
- CHF 146’200 - CHF 245’900 pro Jahr
- 100%
- Doktorat
- C++
- Python
- Urlaub aus familiären Gründen
PhD Positions in Neurotechnology: Next Generation Non-invasive Neurotechnologies & Brain Therapies
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Laborerfahrung
- Master
13 Tage
Application Manager Quantum Computing (Research & Scaling)
Zurich Instruments —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
Scientific Assistant in Tree-Ring Ecology 80-100% (f/m/d)
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- Teilzeit
- Datenanalyse
- Englisch
- Master
6 Tage
Student job “Project Assistant”
accelopment AG —Zürich, ZH
- Teilzeit
- Englisch
- Microsoft Office
- Bachelor
Scientist in «Integrated landscape management» 80 - 100% (f/m/d)
Eidgenössische Forschungsanstalt für Wald, Schnee und Landschaft WSL —Birmensdorf, ZH
- Teilzeit
- Doktorat
- Schreibfähigkeiten
- Englisch
Bioimage Analyst
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
Senior Scientist, Mechanistic Pharmacology
CSL Behring —Schlieren, ZH
- 100%
- Management-Erfahrung
- Doktorat
- Forschungserfahrung
PhD Student Position in Experimental Physical Chemistry and Catalysis
Universität Zürich —Zürich, ZH
- Teilzeit
- Englisch
- Forschungserfahrung
- Master
- Weiterbildungen
Scientist / PostDoc position to work on the integration of CCUS processes to energy system models
Empa —Dübendorf, ZH
- 100%
- Doktorat
- Englisch
- Mechanikkenntnisse
Senior Scientist and Lecturer in Novel Semiconductor Devices 60 – 100 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- 100%
- Doktorat
- Schreibfähigkeiten
- Englisch

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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

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Erweiterte Suche

application scientist Jobs in canton of zurich

AIML - Research Scientist, Health

Research scientist

Data Scientist - QuantumBlack, AI by McKinsey

Senior Clinical Scientist

Research Engineer / Research Scientist, Pre-training

Senior Data Scientist, GeminiApp, DeepMind

Scientist in ecological modelling and analysis 80 - 100% (f/m/d)

International Fully Funded PhD Positions in the Life Sciences

Principal Account Aligned FDE - Data Scientist - German Speaking

Applied AI Scientist

PhD Positions in Neurotechnology: Next Generation Non-invasive Neurotechnologies & Brain Therapies

Application Manager Quantum Computing (Research & Scaling)

Scientific Assistant in Tree-Ring Ecology 80-100% (f/m/d)

Student job “Project Assistant”

Scientist in «Integrated landscape management» 80 - 100% (f/m/d)

Bioimage Analyst

Senior Scientist, Mechanistic Pharmacology

PhD Student Position in Experimental Physical Chemistry and Catalysis

Scientist / PostDoc position to work on the integration of CCUS processes to energy system models

Senior Scientist and Lecturer in Novel Semiconductor Devices 60 – 100 %

Ich möchte aktuelle Job-E-Mails für Stellen als application scientist in canton of zurich erhalten

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