Internship - Machine Learning Research (recurrent models | generative models | interpretability)

Apple; Barcelona; On-site; EUR 16,000 - 22,000; Full time

Benefits offered by this job

Technical mentorship

Publication opportunities

International team

Job summary

Apple’s Machine Learning Research (MLR) team invites motivated interns to explore next-generation ML techniques, focusing on recurrent and generative models, interpretability, and alignment. You will work under a dedicated senior researcher, collaborating with an international team of researchers and engineers to design experiments and drive publishable results.

As an intern, you will help shape research directions, publish in top venues by year-end, and ensure research aligns with Apple’s

Qualifications

• Pursuing a PhD in Machine Learning, Computer Science, Statistics, or related field.
• Strong publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV).
• Hands-on experience with Python and deep learning toolkits such as PyTorch and Jax.
• Ability to formulate a research problem, design experiments and implement solutions.

Responsibilities

• Collaborate with a multidisciplinary international team of researchers and engineers.
• Decide on a line of research with mentorship support and pursue a publication in a top ML venue.
• Deliver ML research aligned with Apple values including privacy and rigor.
• Contribute to open scientific questions and publish findings in conferences.

Skills

Python

Collaborative work

Experiment design

Education

PhD in ML/CS/Stats

Tools

PyTorch

Jax

Job description

Summary

Play a part in the next revolution of machine learning research. Explore new methods, challenge existing metrics or protocols, develop new insightful theories that will change the way we understand machine learning. The Machine Learning Research team led by Samy Bengio, is looking for passionate researcher to investigate the next generation of Machine Learning techniques with particular attention to recurrent models, generative models, interpretability, and alignment. As a member of the MLR team, you will work on some of the most challenging scientific questions, collaborate with world‑class machine learning researchers, push forward innovative research agendas and publish ground‑breaking research in international conferences.

Description

Are you passionate about advancing the state-of-the-art in ML and pursuing great innovation?

As an intern in the Machine Learning Research team, you will receive technical mentorship and guidance from a dedicated senior researcher and will be able to collaborate with a dynamic, multidisciplinary and international team of researchers and engineers. Together with your mentor, you will decide on a line of research that will impact the scientific research community, future Apple products, and society. You will work towards a publication in a top machine learning venue towards the end of the internship and will be responsible for delivering ML research aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigour, innovation, and respect for user privacy.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug‑free workplace.

Minimum Qualifications

• Pursuing a PhD in Machine Learning, Computer Science, Statistics, or a related technical field.


• Demonstrated expertise in machine learning supported by a strong publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ICASSP, InterSpeech, AAAI, ACL, FAccT).


• Hands‑on experience working with Python and deep learning toolkits such as PyTorch and Jax.


• Ability to formulate a research problem, design, experiment and implement solutions.


• Ability to work in a collaborative environment.

Preferred Qualifications

• A passion for one of the following areas: RNNs, generative AI, interpretability, or alignment.


• Strong software engineering skills.


• Strong mathematical skills in linear algebra and statistics.


• Knowledge on image diffusion models


• Experience in High‑Performance Computing and kernel design

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.

Learn about accessibility in Apple’s workplace

Role Number: 200692642-0215