AIML - Machine Learning Researcher, MLR

Apple · Lausanne

Apple seeks a Senior Machine Learning Researcher in Lausanne to lead long-term, curiosity-driven projects in LLMs and agentic systems, driving foundational AI advancements for future products.

This position focuses on innovative foundational research in machine learning, with a specific emphasis on large language models, generative foundation models, and agentic systems. The successful candidate will engage in ambitious, long-term projects that aim to shape the future of Apple’s AI capabilities and product ecosystem.

Responsibilities

  • Design and carry out research initiatives to deepen the understanding of machine learning through practical implementation and experimentation.
  • Offer technical guidance and mentorship to peers and team members.
  • Draft technical documentation and present findings at scientific conferences.
  • Partner with cross-functional teams within Apple to influence the development of upcoming products.
  • Disseminate research outcomes by publishing in top-tier scientific journals and venues.

Requirements

  • A PhD in Computer Science or a related technical discipline, or equivalent hands-on professional experience.
  • Proven track record of expertise in conducting machine learning research.
  • A history of publications at major conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, or EMNLP.
  • Practical proficiency with deep learning frameworks including JAX, PyTorch, or MLX.

Nice to have

  • Solid mathematical foundation in linear algebra and statistics.
  • Capability to independently define research problems, design experiments, implement solutions, and communicate results.
  • Experience thriving in diverse, collaborative team settings.
  • Familiarity with recent advancements in reinforcement learning and agentic tools.

About the company

Apple is dedicated to fostering a research environment where passionate scientists can pursue curiosity-driven, long-term projects. The company values deep technical exploration and aims to integrate groundbreaking AI research into its broader product strategy.

  • Support for curiosity-driven, long-term research initiatives.
  • Opportunity to impact the future direction of Apple’s AI and product lines.
  • Collaborative environment for diverse technical teams.

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