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

AIML - Machine Learning Research Engineer, Generative AI - AFM
Apple —Zürich, ZH
- Informatik
- Doktorat
- Forschungserfahrung
Machine Learning Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
Machine Learning Engineer
Supertext —Zürich, ZH
- 100%
- Englisch
- Forschungserfahrung
- AWS
Direkt bewerben
Senior Machine Learning Engineer in Human-Centric Computer Vision
Apple —Zürich, ZH
- Doktorat
- Datenanalyse
- Englisch
3 Std.
Sr. Machine Learning Engineer
QSC, LLC —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
AIML - Machine Learning Research, Multimodal Foundation Models
Apple —Zürich, ZH
- Informatik
- Doktorat
- Python
Research Engineer / Research Scientist, Pre-training
Anthropic —Zürich, ZH
- CHF 280’000 - CHF 680’000 pro Jahr
- Doktorat
- Forschungserfahrung
- Master
- Eltern-/Erziehungsurlaub
Machine Learning Engineer (Applied ML, B2B SaaS)
aspaara AG —Zürich, ZH
- Überstunden
- Doktorat
- Englisch
- Master
Direkt bewerben
CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)
Imnoo AG —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- CAD
- Datenanalyse
- Forschungserfahrung
Direkt bewerben
Praktikum Security Software Engineering und Machine Learning
Ergon Informatik AG —Zürich, ZH
- CHF 56’400 - CHF 68’400 pro Jahr
- Teilzeit
- C++
- Bachelor
- Linux
Direkt bewerben
7 Tage
Disney Research Studio Intern
Disney —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Data Engineer
Apple —Zürich, ZH
- Systemdesign
- Englisch
- SQL
11 Tage
Software Engineer III, AI/ML, Google Cloud, Automotive
Google —Zürich, ZH
- 100%
- Informatik
- Doktorat
- Master
Energy Data Engineer
enshift AG —Baar, ZG
- Hybrides Arbeiten
- Datenanalyse
- SQL
- Python
Direkt bewerben
(Senior) Machine Vision Engineer
Verity —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
5 Tage
Numerical Modeling Engineer
Proxima Fusion —Zürich, ZH
- 100%
- Doktorat
- Master
- C++
Senior Reinforcement Learning Engineer
ANYbotics —Zürich, ZH
- Überstunden
- Informatik
- Doktorat
- Englisch
12 Tage
Disney Research Studio Intern
The Walt Disney Studios —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Design Engineer
Cradle —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Kommunikationsfähigkeit
12 Tage
Cybersecurity Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Englisch
- C++
- Kommunikationsfähigkeit
7 Tage

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AIML - Machine Learning Research Engineer, Generative AI - AFM

Apple -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Qualifikationen

Informatik
Doktorat
Forschungserfahrung
Master
Python

Vollständige Stellenbeschreibung

Join Apple’s Generative AI team in Zurich as a Machine Learning Engineer specializing in foundation model post-training! Our team advances reinforcement learning (RL) for agentic tool use, planning and reasoning to enhance Apple’s foundation models. Our work directly shapes Apple Intelligence features such as Siri-impacting billions of users-while contributing to state-of-the-art research. You’ll collaborate with a dedicated group of researchers in Zurich and work closely with Apple’s core Foundation Model teams in Cupertino and NY.

Description
In our team, you will:

Develop and scale RL methods to improve reasoning, instruction following, multi-turn dialogue, and reduce hallucinations in large language models.

Design and train agents with tool use, planning, and API integration to reliably accomplish tasks.

Build and refine reward models, evaluators, datasets, and simulation environments (e.g., for RLHF, RLAIF, and RLVF).

Run large-scale experiments, analyze results, and translate findings into both research contributions and practical improvements for Apple Intelligence.

Collaborate within a Europe-based team of ~35 RL/ML experts, coordinating closely with Apple’s foundation model groups in the U.S.

We value researchers eager to explore the space between fundamental research and applied work-with opportunities to contribute to both scientific progress and real-world applications!

Preferred Qualifications
Publications in top ML/AI venues, or equivalent contributions through open-source or impactful industry work.

Hands-on experience with tool use, planning, retrieval, and agentic integrations for LLMs.

Experience with data curation, evaluation frameworks, and safety/guardrail methods.

Ability to design and implement experiments at scale, and to develop innovative approaches to challenging problems.

Minimum Qualifications
MSc, PhD, or equivalent research/industry experience in Computer Science, Machine Learning, Electrical Engineering, or a related field.

Strong background in reinforcement learning and deep learning, with hands-on experience training large-scale models, particularly LLMs.

Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX), with demonstrated experience in distributed training.

Ability to collaborate in interdisciplinary teams and clearly communicate complex concepts to both technical and non-technical partners.

Jetzt bewerben

Erweiterte Suche

engineer machine learning Jobs in zürich, zh

AIML - Machine Learning Research Engineer, Generative AI - AFM

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Engineer in Human-Centric Computer Vision

Sr. Machine Learning Engineer

AIML - Machine Learning Research, Multimodal Foundation Models

Research Engineer / Research Scientist, Pre-training

Machine Learning Engineer (Applied ML, B2B SaaS)

CAD AI Machine Learning / Deep Learning Engineer – Coding Wizard ( 70% - 100% ) (remote/onsite)

Praktikum Security Software Engineering und Machine Learning

Disney Research Studio Intern

Senior Data Engineer

Software Engineer III, AI/ML, Google Cloud, Automotive

Energy Data Engineer

(Senior) Machine Vision Engineer

Numerical Modeling Engineer

Senior Reinforcement Learning Engineer

Disney Research Studio Intern

Design Engineer

Cybersecurity Engineer

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

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