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

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

science machine learning python Jobs in zürich, zh

AIML - Machine Learning Research Engineer, Generative AI - AFM

Research Intern - Machine Learning and Natural Language Processing (PhD)

AIML - Machine Learning Research, Multimodal Foundation Models

Machine Learning Systems Engineer

Praktikum Security Software Engineering und Machine Learning

AIML - Research Scientist, Health

Praktikum Security Software Engineering und Machine Learning

Research Associate Data Science, Environmental Science, Agronomy

Wissenschaftl./-r Mitarbeiter/-in im Bereich Data Science, Umweltwissenschaften, Agrarwissenschaften

Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)

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

Sr. Machine Learning Engineer

Research Engineer / Research Scientist, Pre-training

Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE)

Data Scientist - QuantumBlack, AI by McKinsey

Senior Research Scientist, Deep Learning

Wissenschaftliche/-r Mitarbeiter/-in im Rahmen der internationalen Entwicklungszusammenarbeit

Wissenschaftliche/-r Mitarbeiter/-in im Rahmen der internationalen Entwicklungszusammenarbeit

Energy Data Engineer

Internship in Variability Visualization Framework for Large-Scale Graphical Languages 80 - 100% (f/m/d)

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

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt