Senior Foundation Model RL Scientist — Scale LLMs & Agentic AI

Apple Inc.; Zürich; Vor Ort; CHF 180.000 - 260.000; Vollzeit

Zusammenfassung

Apple Inc. in Switzerland seeks a senior AIML Foundation Model Post-Training Research Scientist to advance reinforcement learning and agentic reasoning for foundation models powering Apple Intelligence products.

You will lead research and engineering across multi-modal architectures, evaluation, and deployment at scale, collaborating with teams in Europe, New York, Seattle and Cupertino to turn ideas into production-ready capabilities. This role combines deep theory with practical impact.

Qualifikationen

• PhD/Master's degree or equivalent experience in Computer Science, Computer Engineering, or a closely related field.
• Deep expertise in generative AI architectures with hands-on experience training and scaling LLMs and/or multi-modal foundation models.
• Industry experience in developing, training, and deploying large-scale ML systems, with emphasis on model performance optimization.
• Demonstrated industry experience on developing agentic capabilities for modern foundation models.

Aufgaben

• Lead transformative progress in large-scale language models with a focus on reinforcement learning.
• Develop and apply RL techniques to train and refine foundation models across multi-modal architectures.
• Collaborate with researchers and systems engineers to advance deployment to billions of devices.
• Design, train, and optimize LLMs and multi-modal models at scale.

Kenntnisse

LLM training

Multi-modal models

Reinforcement learning

Agentic reasoning

Python

PyTorch

JAX

Model scaling

Ausbildung

PhD or Master's in CS/CE or related field

Tools

PyTorch

JAX

Jobbeschreibung

Apple Inc. in Switzerland seeks a senior AIML Foundation Model Post-Training Research Scientist to advance reinforcement learning and agentic reasoning for foundation models powering Apple Intelligence products.

You will lead research and engineering across multi-modal architectures, evaluation, and deployment at scale, collaborating with teams in Europe, New York, Seattle and Cupertino to turn ideas into production-ready capabilities. This role combines deep theory with practical impact.