AIML - Machine Learning Researcher, MLR

Apple; Lausanne; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Apple in Lausanne is seeking passionate researchers to advance foundational AI research, focusing on large language models, generative foundation models and agentic systems.

You will propose your own research plan, implement experiments, mentor peers, and collaborate with broader Apple teams on impactful projects and publications.

Qualifikationen

• PhD or equivalent practical experience in Computer Science or related field.
• Demonstrated expertise in machine learning research.
• Publication record in top ML venues (NeurIPS, ICML, ICLR, etc.).
• Hands-on experience with deep learning toolkits such as JAX or PyTorch and exposure to RL/agentic tools.

Aufgaben

• Propose and execute your own research plan to advance understanding of ML.
• Collaborate with ML engineers and researchers to implement and experiment.
• Mentor colleagues and prepare technical reports for publications and talks.

Kenntnisse

ML Research

Publications

Deep Learning

RL/Agentic Tools

Ausbildung

PhD or equivalent practical experience

Tools

JAX

PyTorch

MLX

Jobbeschreibung

Summary

Play a part in building the next revolution of artificial intelligence and machine learning technology. We’re looking for 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.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here— in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.