ML Engineer, Privacy‑Preserving Photo AI

ML Engineer, Privacy‑Preserving Photo AI

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Apple

At a Glance

  • Tasks: Develop privacy-respecting AI algorithms for enhancing photo app experiences.
  • Company: Join Apple in Cambridge, a leader in innovative technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and creativity.
  • Why this job: Be part of a collaborative team innovating in the exciting field of photo technology.
  • Qualifications: Strong background in machine learning, deep learning, and software development required.

The predicted salary is between 60000 - 80000 £ per year.

APPLE in Cambridge is seeking an experienced Machine Learning Engineer to develop privacy-respecting AI algorithms for Photos. You will contribute to enhancing the best photo app experience worldwide as part of a collaborative team.

The ideal candidate will have a strong background in machine learning, deep learning, and software development. Familiarity with tools like PyTorch and the ability to thrive in a dynamic environment is essential.

Join us to innovate in the exciting field of photo technology!

ML Engineer, Privacy‑Preserving Photo AI employer: Apple

APPLE in Cambridge offers a dynamic and innovative work environment where creativity and collaboration thrive. As a Machine Learning Engineer, you will have the opportunity to work on cutting-edge privacy-preserving AI technologies that enhance user experience globally. With a strong focus on employee growth and development, APPLE provides numerous resources and support for professional advancement, making it an excellent employer for those looking to make a meaningful impact in the tech industry.

Apple

Contact Details:

Apple Recruitment Team

We think you need these skills to ace ML Engineer, Privacy‑Preserving Photo AI

Machine Learning
Deep Learning
Software Development
PyTorch
Collaboration
Dynamic Environment Adaptability
AI Algorithm Development