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AIML- Intern in ML Research, MLR

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Apple

14d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Paris

AI generated summary

  • You should have expertise in ML research, relevant publications, deep learning experience (JAX/PyTorch), strong math and coding skills, and be in a PhD program (or MSc with ML focus).
  • You will conduct ML research, implement novel methods, plan experiments, publish results, and collaborate with experts to innovate technology affecting Apple’s future products.

Requirements

  • 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 or PyTorch.
  • 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.
  • In the final years of a PhD programme.
  • Preferably, final year(s) of PhD in Computer Science, Computer Vision, Statistics, Applied Mathematics or NLP, all with an emphasis on ML methods.
  • Students currently pursuing a MSc 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.

Responsibilities

  • Play a part in building the next revolution of machine learning technology.
  • Work on ambitious curiosity driven research projects that will impact the future of Apple, and our products, through open research.
  • Have the opportunity to work on innovative foundational research in machine learning.
  • Be inspired by a diversity of exciting problems.
  • Collaborate with world-class machine learning engineers and researchers to publish some of your results in high-quality scientific venues.
  • Hone your research skills through various collaborative phases of an ML research project.
  • Identify a promising research opportunity.
  • Survey SoTA methods and relevant literature.
  • Imagine and design novel methods.
  • Implement them as code prototypes.
  • Plan and complete experiments at multi-node, multi-GPU scales.
  • Write a paper and follow through with a submission.
  • Work towards publishing new findings arising from the project, either or both as open source code and publications.
  • Collaborate further with MLR colleagues outside of Paris on the project.

FAQs

What is the duration of the internship?

The duration of the internship is not explicitly stated in the job description. Please inquire further during the application process.

What qualifications are required for this internship?

Candidates should be in the final years of a PhD program in Machine Learning, Statistics, Computer Vision, or NLP, with demonstrated expertise and a publication record in relevant conferences.

Are there specific tools or frameworks I should be familiar with?

Yes, candidates should have hands-on experience with deep learning toolkits such as JAX or PyTorch.

Is there an opportunity to publish research findings during the internship?

Yes, interns will work towards publishing new findings either as open-source code or in high-quality scientific venues.

Can I apply if I am currently pursuing a Master's degree?

Yes, students currently pursuing a Master's in Computer Science or Mathematics with a specialization in ML and strong coding skills may also apply.

Will I be working with a diverse team?

Yes, the role encourages collaboration in a diverse environment, working with colleagues from various backgrounds.

What is the weekly working hour expectation?

The expected weekly working hours for this internship are 40 hours.

Are there specific topics that the internship will focus on?

Yes, topics of interest include differentiable optimization, generative modeling, and uncertainty quantification, among others.

Is it necessary to have coding skills to apply?

Yes, strong coding skills are required, and candidates should be able to implement solutions alongside their research.

Will the internship involve collaboration with other teams?

Yes, interns will have the opportunity to collaborate with MLR colleagues outside of Paris on projects.

Apple

Technology
Industry
10,001+
Employees
1976
Founded Year

Mission & Purpose

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity.