ML Researcher: Generative AI&LLM Foundations, Lausanne

Summary Play a part in building the next revolution of artificial intelligence and machine learning technology. We're looking for a passionate researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple AI, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs, generative foundation models and agentic systems. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description You have a strong research background in machine learning or related fields and have some expertise with modern AI training methods. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.

Minimum Qualifications PhD or equivalent practical experience, in Computer Science, or related technical field Demonstrated expertise in machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX, as well as exposure to more recent RL and agentic tools

Preferred Qualifications Strong mathematical skills in linear algebra and statistics. Ability to formulate a research problem, design, experiment, implement and communicate solutions. Ability to work in a diverse collaborative environment.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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Role Number: 200664779-5636

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