Foundation Models RL Research Engineer – Agentic Reasoning

Apple Inc.

Zürich

Vor Ort

CHF 180.000 - 240.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Apple Inc. in Zurich seeks a Machine Learning Engineer specializing in foundation model post-training. You will advance RL for agentic tool use, planning and reasoning to enhance Apple’s foundation models and influence Siri and other features.

You will collaborate with a Europe-based team of RL/ML experts and work closely with Apple’s U.S. foundation model groups, contributing to both scientific progress and practical improvements.

Qualifikationen

  • MSc, PhD, or equivalent in Computer Science, ML, Electrical Engineering, or related field.
  • Strong background in reinforcement learning and deep learning, with hands-on experience training large-scale models.
  • Proficiency in Python and ML frameworks (PyTorch, JAX), with distributed training experience.
  • Ability to collaborate in interdisciplinary teams and clearly communicate complex concepts to both technical and non-technical partners.

Aufgaben

  • 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 for RLHF, RLAIF, and RLVF.
  • Run large-scale experiments, analyze results, and translate findings into research contributions and practical improvements for Apple Intelligence.
  • Collaborate with a Europe-based team of RL/ML experts and coordinate with Apple’s foundation model groups in the U.S.

Kenntnisse

Reinforcement learning
Deep learning
Research experience
Interdisciplinary collaboration

Ausbildung

MSc/PhD or equivalent

Tools

Python
PyTorch
JAX
Distributed training

Jobbeschreibung

Apple Inc. in Zurich seeks a Machine Learning Engineer specializing in foundation model post-training. You will advance RL for agentic tool use, planning and reasoning to enhance Apple’s foundation models and influence Siri and other features.

You will collaborate with a Europe-based team of RL/ML experts and work closely with Apple’s U.S. foundation model groups, contributing to both scientific progress and practical improvements.

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