19 beste Stellen als application scientist in kanton zürich – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
12 Tage
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- CHF 280’000 - CHF 680’000 pro Jahr
- Doktorat
- Forschungserfahrung
- Master
- Eltern-/Erziehungsurlaub
Junior Data Scientist 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Englisch
- Java
- Master
13 Tage
Senior Scientist, Pharmacokinetics (PK)
CSL Behring —Glattbrugg, ZH
- 100%
- Doktorat
- Master
- Bachelor
Internship Data Scientist in Zurich (f/m/x)
ZEISS Group —Zürich, ZH
- 100%
- Englisch
- Kommunikationsfähigkeit
- Python
14 Tage
(Senior) Scientist R&D, 100%
Biognosys AG —Schlieren, ZH
- 100%
- Doktorat
- Datenanalyse
- Englisch
Staff Data Scientist - Supply Chain Optimisation
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Doktorat
- Englisch
- Master
13 Tage
Lead Data Scientist (Supply Chain Forecasting)
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Senior NLP Data Scientist
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Master
PostDoc/Scientist on bitumen chemomechanics
Empa —Dübendorf, ZH
- 100%
- Management-Erfahrung
- Doktorat
- Schreibfähigkeiten
Senior Scientist and Lecturer in Novel Semiconductor Devices 60 – 100 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- 100%
- Doktorat
- Schreibfähigkeiten
- Englisch
LLM Data Scientist/Algorithm Engineer
Binance —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Master
Direkt bewerben
PhD Student Position in Experimental Physical Chemistry and Catalysis
Universität Zürich —Zürich, ZH
- Teilzeit
- Englisch
- Forschungserfahrung
- Master
- Weiterbildungen
Senior Data Scientist
Zühlke —Schlieren, ZH
- 100%
- Homeoffice
- Microsoft Excel
- Doktorat
- Englisch
- Homeoffice-Möglichkeit
Bioimage Analyst
Universität Zürich —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
- Weiterbildungen
3 Tage
Postdoctoral position – Co-evaluating bio-inputs for Smallholder Farmers in Kenya
ETH Zürich —Zürich, ZH
- 100%
- Management-Erfahrung
- Doktorat
- Datenanalyse
Post diploma internship “Data analysis (genomics, proteomics) of plant growth stimulating bacteria”
SIB Swiss Institute of Bioinformatics —Zürich, ZH
- Datenanalyse
- Englisch
- Master
Senior CPU Performance Developer Technology Engineer
NVIDIA —Zürich, ZH
- CHF 292’500 - CHF 650’000 pro Jahr
- 100%
- Informatik
- Doktorat
- Master

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 12 Tagen

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

application scientist Jobs in kanton zürich

AIML - Research Scientist, Health

Research Engineer / Research Scientist, Pre-training

Junior Data Scientist 100% (f/m/d)

Senior Scientist, Pharmacokinetics (PK)

Internship Data Scientist in Zurich (f/m/x)

(Senior) Scientist R&D, 100%

Staff Data Scientist - Supply Chain Optimisation

Data Scientist - QuantumBlack, AI by McKinsey

Lead Data Scientist (Supply Chain Forecasting)

Senior NLP Data Scientist

PostDoc/Scientist on bitumen chemomechanics

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

LLM Data Scientist/Algorithm Engineer

PhD Student Position in Experimental Physical Chemistry and Catalysis

Senior Data Scientist

Bioimage Analyst

Postdoctoral position – Co-evaluating bio-inputs for Smallholder Farmers in Kenya

Post diploma internship “Data analysis (genomics, proteomics) of plant growth stimulating bacteria”

Senior CPU Performance Developer Technology Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als application scientist in kanton zürich erhalten

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