Internship - Machine Learning Research

Talantir; Paris; On-site; EUR 13,000 - 20,000; Full time

Job summary

Apple in Paris seeks a PhD/MSc candidate to conduct open ML research, solving curiosity-driven projects that shape the future of Apple products. You will collaborate with leading ML engineers and researchers, and share work through publications in top-tier venues.

You are final-year in a PhD in ML-related fields with publications, and you will implement ideas, run large experiments, and contribute to open-source code and publications.

Qualifications

• MSc or PhD in Computer Science or Mathematics with ML specialization and strong coding skills.
• Publication record in major ML conferences is expected.
• Hands-on experience with deep learning toolkits such as PyTorch or JAX.

Responsibilities

• Review state-of-the-art literature and identify promising research opportunities.
• Design, implement, and prototype novel ML approaches as code.
• Plan and run large-scale experiments across multi-node, multi-GPU systems.
• Publish findings in papers and potentially open-source code.

Skills

Strong ML research

Publication record

Deep learning (PyTorch or JAX)

Education

MSc or PhD in CS/Math with ML specialization

Tools

PyTorch

JAX

Job description

Summary

Application Deadline: Wednesday 31st December

Do you want to play a part in building the next revolution in machine learning technology? We're looking for passionate researchers in the final years of their post-graduate studies to solve high-reaching, curiosity-driven projects that build the future of Apple and our products through open research. In this internship, you’ll dive into innovative foundational research in machine learning. You'll solve a variety of impactful problems, collaborating with leading machine learning engineers and researchers, with the chance to share your work through publications in top-tier scientific venues.

Description

You are in your final years of a PhD programme in Machine Learning, Statistics, Computer Vision or NLP, and have already published some of your work at major conferences in the field. During your time with us, you will continue sharpening your research skills, as we go through the various collaborative stages of an ML research project. Identifying a promising research opportunity, reviewing SoTA methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission. Topics of interest include but are not limited to generative modelling (diffusions, discrete diffusions, flows, transport) optimization (e.g. bi- and multi-level programming, scaling laws for NN training, parameterization), uncertainty quantification, data-centric ML (curriculum learning, data reweighting). You’ll also have the opportunity to collaborate further with MLR colleagues outside of Paris on the project. Ultimately, you will work towards publishing new findings arising from the project, either or both as open source code and publications.

Minimum Qualifications

• Students currently pursuing a MSc or a PhD in Computer Science or Mathematics, with a specialisation in ML, and very strong coding skills as demonstrated by participations in open source projects may also apply.
• Proven expertise in machine learning research.
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
• Hands-on experience working with deep learning toolkits such as JAX or PyTorch.

Preferred Qualifications

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

At Apple

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.