Internship - Machine Learning Research

Apple Inc.; Paris; On-site; EUR 16,000 - 20,000; Part time

Job summary

Apple Inc. in Paris offers a rigorous ML research internship for MSc/PhD candidates to explore foundational problems and contribute to open publications. You will collaborate with leading ML engineers and researchers across Europe and the US to push the boundaries of machine learning.

You will review literature, prototype novel methods, and run large-scale experiments on multi-node systems, with the goal of publishing your findings or releasing open-source code.

Qualifications

• Pursuing MSc or PhD in CS/ML.
• Publication record in top conferences (e.g., NeurIPS, ICML, CVPR).
• Hands-on experience with deep learning toolkits (JAX, PyTorch, MLX).

Responsibilities

• Identify promising research opportunities and review state-of-the-art methods.
• Craft novel approaches and implement them as code prototypes.
• Plan and run large-scale experiments across multi-node, multi-GPU systems.
• Write and submit a paper detailing findings; share open-source code where possible.

Skills

Teamwork

Research communication

Education

MSc or PhD in Computer Science / ML

Tools

JAX

PyTorch

MLX

Job description

Paris, Ile-de-France, France Machine Learning and AI

Application Deadline: 31st December 2026We'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), efficient inference (architectures, context management, kv compression), optimization (e.g. scaling laws for LLM training, parameterization), uncertainty quantification, data-centric ML (curriculum learning, data reweighting). You will also have the opportunity to collaborate further with MLR colleagues outside of Paris, in other Europe locations and in the US. 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, Machine Learning or equivalent
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ACL, EMNLP, etc).
• Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX.
• Teamwork skills needed to operate within and receive feedback from a large group of researchers.

Preferred Qualifications

• Strong mathematical skills in linear algebra, probability, optimization and statistics.
• Ability to formulate a research problem, paired with strong prototyping/coding skills
• Ability to design experimental plans and communicate progress.

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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