14 beste Stellen als applied scientist in canton of zurich – aktuell auf Personalsuche

AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Applied AI Scientist
Microsoft —Zürich, ZH
- CHF 146’200 - CHF 245’900 pro Jahr
- 100%
- Doktorat
- C++
- Python
- Urlaub aus familiären Gründen
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
Staff Research, Generative AI, Cloud AI Research, Co-Scientist
Google —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- C++
Member of Technical Staff – Applied AI
Tzafon —Zürich, ZH
- CHF 150’000 - CHF 400’000 pro Jahr
- 100%
- Master
- Python
- Empfehlungsprogramm
Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)
GenPeach AI —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Forschungserfahrung
- Master
- Python
Direkt bewerben
Senior Scientist and Lecturer in Novel Semiconductor Devices 60 – 100 %
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- 100%
- Doktorat
- Schreibfähigkeiten
- Englisch
PhD Position in NCCR Genesis: On the rise of molecular complexity at the Origin of Life
ETH Zürich —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- Master
12 Tage
Exciting Research Opportunity: PhD Student in Intelligent Lab for High-Throughput Solar Cell Characterization
ZHAW Zürcher Hochschule für Angewandte Wissenschaften —Winterthur, ZH
- Doktorat
- Englisch
- Master
Doctoral Position in circularly polarized attosecond pulses and chiral charge migration
ETH Zürich —Zürich, ZH
- 100%
- Datenanalyse
- Englisch
- Forschungserfahrung
8 Tage
PhD on Quantum Computing × AI for Optimization
ETH Zürich —Zürich, ZH
- 100%
- Doktorat
- Forschungserfahrung
- Master
Data Engineer
Coherent Corp. —Zürich, ZH
- 100%
- Master
- Datenbanken
- SQL
12 Std.
Director of Sports Science
On AG —Zürich, ZH
- Doktorat
- Forschungserfahrung
- Erfahrung in der IT
Associate Director, Safety Ops
Denali Therapeutics —Zürich, ZH
- Bachelor
- Elektronisches Patientendossier
- Kommunikationsfähigkeit

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Applied AI Scientist
Microsoft —Zürich, ZH
Collaborate across Microsoft research and engineering teams. Your main job will be to help create smart systems for new types of agents by training and…
CHF 146’200 - CHF 245’900 pro Jahr
Staff Research, Generative AI, Cloud AI Research, Co-Scientist
Google —Zürich, ZH
3 years of experience in a technical leadership role leading project teams and setting technical direction. Own projects end-to-end, leading teams from initial…

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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

applied scientist Jobs in canton of zurich

AIML - Research Scientist, Health

Applied AI Scientist

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

Staff Research, Generative AI, Cloud AI Research, Co-Scientist

Member of Technical Staff – Applied AI

Founding Member of Technical Staff – AI Research Scientist (Image/Video Foundation Models)

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

PhD Position in NCCR Genesis: On the rise of molecular complexity at the Origin of Life

Exciting Research Opportunity: PhD Student in Intelligent Lab for High-Throughput Solar Cell Characterization

Doctoral Position in circularly polarized attosecond pulses and chiral charge migration

PhD on Quantum Computing × AI for Optimization

Data Engineer

Director of Sports Science

Associate Director, Safety Ops

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