Machine Learning Engineer - Generative AI , ISE

Summary

Are you interested in creating products that use machine learning and computer vision in novel and interactive ways? Are you looking to apply your expertise to produce transformative features like Image Playground, Live Text, and Scribble? Do you want to use and build generative models to create highly visible products that are getting into the hands of hundreds of millions of users? We are an applied machine learning team distributed between Zurich in Switzerland and Cupertino in California , searching for a motivated research engineer to help develop the future of ML models to power products around text, image, and freeform drawing recognition and generation. We work closely with diverse teams throughout Apple.

Description

As a member of the team you will have an impact by bringing innovative ideas to our next generation of products, applying modern machine learning methods to solve problems that matter. The work spans the entire product life cycle from project inception to shipping models on billions of devices. We are seeking an engineer who will be responsible for prototyping new features as well as contributing to the overall design and development of existing components. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems

Minimum Qualifications

• PhD or equivalent experience in Computer Science, Computer Engineering or a closely related field
• Experience with generative AI for images, text, or multi-modal data
• Strong programming, debugging, and design skills
• Experience building ML models using modern deep learning toolchains such as PyTorch or JAX
  
  

Preferred Qualifications

• Industry experience in applying ML to solve product needs
• Excellent problem solving, critical thinking, and interpersonal skills
• Ability to produce creative and innovative solutions to challenging problems
• Enthusiastic about building end-to-end experiences using machine learning
• Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or SwiftProficiency with Unix, iOS, or macOS development
  
  

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.