Machine Learning Intern - Generative AI at Apple

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

0.0

Posted On

17 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Deep Learning, Generative AI, Python, PyTorch, Jax, Diffusion Models, Speech Recognition, Modeling Techniques, Research, Prototyping, Experiment Design, Training Pipeline Development, Product Development, End-to-End Prototypes

Industry

Computers and Electronics Manufacturing

Description

Application Deadline - Sunday 16th November Are you interested in developing products that use machine learning and computer vision in novel and interactive ways? Want to harness your skills to build groundbreaking features like Image Generation, Smart Script, or Scribble? Envision yourself building high-impact products powered by generative models, reaching hundreds of millions of users? We are an applied machine learning team based in Zurich, Switzerland, searching for a motivated intern to help advance the future of machine learning models to power products around text and freeform drawing recognition and generation. You will get the opportunity to work closely and collaborate with a variety of teams across Apple. DESCRIPTION As an intern in our team, you'll directly influence the future by investigating new ideas destined for our next-generation products. You'll concentrate on researching modeling techniques to tackle key machine learning challenges that underpin future features. We're looking for an intern to prototype innovative models and contribute to the project's overall research and design. The ideal candidate will have experience with computer vision, speech recognition, deep learning, and/or other applications of machine learning systems. MINIMUM QUALIFICATIONS Currently enrolled in a Master's degree program (or higher, or equivalent) in a related field. Experience with common Generative AI and machine learning concepts Hands-on experience working with Python and deep learning toolkits such as PyTorch and Jax. PREFERRED QUALIFICATIONS Familiarity with diffusion models Familiarity with machine learning experiment design and training pipeline development Ability to work in a supportive environment Experience in building products or end-to-end prototypes around ML models. Proven 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).

Responsibilities

As an intern, you will investigate new ideas for next-generation products and prototype innovative models. You will contribute to the project's overall research and design.