20 beste Stellen als model validation in zürich, zh – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
13 Tage
Partner, Health Care - Generics, Biosimilars & Strategic Transformation
Boston Consulting Group —Zürich, ZH
- 100%
Research Assistant / Master's Student in Computer Science or Data Science
Universität Zürich —Zürich, ZH
- Teilzeit
- Englisch
- Forschungserfahrung
- Master
- Weiterbildungen
Data Engineering Intern
Jua —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- SQL
- AWS
Intern - Treasury Risk 60-100% (f/m/d), 6-9 Months
Julius Baer —Zürich, ZH
- Microsoft Excel
- Englisch
- Microsoft Office
Mitarbeiter/in Hauswirtschaft 60%
Alterszentrum Frohmatt AG —Wädenswil, ZH
- Teilzeit
- Microsoft Word
- Microsoft Excel
- Textverarbeitung
- Pensionskasse
4 Tage
UI/UX Designer Contractor
Scaled Agile Inc —Zürich, ZH
- Teilzeit
- Homeoffice
Direkt bewerben
Principal, Clinical Data Oversight & Standards Lead
CSL Behring —Glattbrugg, ZH
- CHF 170’000 - CHF 201’000 pro Jahr
- 100%
- Englisch
- Master
- Analysefähigkeit
3 Tage
Senior Lead - Distribution Center Network Design & Planning
On AG —Zürich, ZH
- Englisch
- Analysefähigkeit
- Erfahrung mit Netzwerken
3 Tage
Embedded Intelligence Solutions Engineer - China Market
NEWTWEN —Zürich, ZH
- Ab CHF 50’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Datenanalyse
- Englisch
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
Direkt bewerben
Numerical Modeling and Experimental Validation for Wireless Power Transfer Exposure Assessment and Applications
IT'IS Foundation —Zürich, ZH
- Englisch
- Master
- Python
Agentic AI Engineer 80-100%
Sunrise GmbH —Zürich, ZH
- Management-Erfahrung
- Englisch
- Master
7 Tage
Team Lead Web Entry Solutions 80 - 100% (f/m/d/)
Julius Baer —Zürich, ZH
- Management-Erfahrung
- Englisch
- Master
7 Tage
Digital Audit und Process Analytics - Career Start im Bereich Trade, Industries & Services - Herbst 2026
PwC —Zürich, ZH
- 100%
- Englisch
- Master
- Bachelor
Junior Market Risk Controller 100 % (f/m/d)
Julius Baer —Zürich, ZH
- 100%
- Management-Erfahrung
- Analysefähigkeit
- Bachelor
Computational Electromagnetics
IT'IS Foundation —Zürich, ZH
- Doktorat
- Englisch
- Master
Sales & Relationship Manager
Swiss Quant —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
Direkt bewerben
Energy Data Engineer
enshift AG —Baar, ZG
- Hybrides Arbeiten
- Datenanalyse
- SQL
- Python
Direkt bewerben
(Senior) Consultant - Business Consulting (Platform experience)
EY —Zürich, ZH
- Englisch
- Kommunikationsfähigkeit
Pflegeassistenzpersonal SRK /AGS 40-100%
Alterszentrum Frohmatt AG —Wädenswil, ZH
- Teilzeit
- Pensionskasse
4 Tage

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AIML - Research Scientist, Health

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

vor 13 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

model validation Jobs in zürich, zh

AIML - Research Scientist, Health

Partner, Health Care - Generics, Biosimilars & Strategic Transformation

Research Assistant / Master's Student in Computer Science or Data Science

Data Engineering Intern

Intern - Treasury Risk 60-100% (f/m/d), 6-9 Months

Mitarbeiter/in Hauswirtschaft 60%

UI/UX Designer Contractor

Principal, Clinical Data Oversight & Standards Lead

Senior Lead - Distribution Center Network Design & Planning

Embedded Intelligence Solutions Engineer - China Market

Numerical Modeling and Experimental Validation for Wireless Power Transfer Exposure Assessment and Applications

Agentic AI Engineer 80-100%

Team Lead Web Entry Solutions 80 - 100% (f/m/d/)

Digital Audit und Process Analytics - Career Start im Bereich Trade, Industries & Services - Herbst 2026

Junior Market Risk Controller 100 % (f/m/d)

Computational Electromagnetics

Sales & Relationship Manager

Energy Data Engineer

(Senior) Consultant - Business Consulting (Platform experience)

Pflegeassistenzpersonal SRK /AGS 40-100%

Ich möchte aktuelle Job-E-Mails für Stellen als model validation in zürich, zh erhalten

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