AIML - Machine Learning Researcher, MLR

Apple; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Apple in Paris is seeking passionate researchers for machine learning technology projects. This role involves innovative foundational research on LLMs and generative models. Candidates should have a strong research background, a PhD in Computer Science, and demonstrated machine learning expertise. The position offers collaboration with world-class engineers and the opportunity for publication in high-quality venues. Join us to impact the future of Apple products through cutting-edge research.

Qualifications

• Strong research background in machine learning and related fields.
• Regularly publishes results in relevant conferences and journals.
• Proposes and executes own research plan.

Responsabilités

• Work on innovative foundational research in machine learning.
• Provide technical mentorship and guidance.
• Collaborate with broader teams across Apple.

Connaissances

Machine learning expertise

Deep learning toolkits (JAX, PyTorch, MLX)

Research publication skills

Mathematical skills

Formation

PhD in Computer Science or related field

Description du poste

Summary

Play a part in building the next revolution of 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 and our products. In this role, you will have the opportunity to work on innovative foundational research in machine learning focusing on LLMs, VLMs, and more generally generative foundation models, possibly at all steps (pre‑training, fine‑tuning, steering, efficient inference etc.). 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 regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are reproducible. 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.

Preferred Qualifications

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

EEO Statement

At Apple, we are 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. We are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.