Machine Learning Engineer Intern - Shanghai

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big.
Machine Learning
Software Engineering Intern
In-Person
AI

Description For Machine Learning Engineer Intern - Shanghai

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big.

The people here at Apple don't just build products — they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

The Hardware Engineering team features a collaborative environment with creative, smart talents, world-class products and cutting-edge technologies. Team provides opportunities for individuals to contribute across a wide spectrum of disciplines. Best in class engineering excellence and thoroughness are expected and encouraged. Pushing the envelope to design and ship innovative products with best-in-class technologies and user experiences are the main goals of the team.

The Machine Learning Engineer Intern will work closely with our engineering team to develop and improve our machine learning tools. It gives you practical experience in designing and implementing scalable ML solutions while working with large datasets and sophisticated machine learning algorithms. Candidate will:

  • Collaborate with senior engineers to design and develop ML tools for data processing, analysis, and visualization.
  • Integrate and validate machine learning models on Apple new product introduction (NPI) process and mass production.
  • Develop and implement automated pipelines for model training and evaluation.
  • Conduct experiments to evaluate the efficiency of different models and algorithms.
  • Participate in code reviews, testing, and documentation to ensure high-quality and maintainable code.
  • Keep up-to-date with the latest advancements in machine learning and data science techniques.
Last updated 2 months ago

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