Internship - ML Lifecycle Optimization

are engineers and leading machine learning practitioners who are all passionate about applying groundbreaking techniques to AI. At the end of your internship, you will have the chance to meet and present your work to the AI/ML leadership. Where appropriate, there may be the opportunity to submit your work for publication at a suitable conference. If this sounds of interest to you, we'd love to hear from you! ","responsibilities":"Collaborate with ML practitioners across Apple to understand their pain points and build systems to accelerate their development process.
Build web applications with Python or Go and modern frontend technologies.
Build Python libraries and frameworks that are loved by users and meet the highest quality bar.

Preferred Qualifications
Distributed processing experience
Typescript & React experience
Experience in building and optimizing agentic systems

Minimum Qualifications
Very good programming skills in Python and demonstrated capacity to write high-quality software.
Expertise in machine learning with a passion for data-centric ML, MLOps, or fairness in ML.
Experience with data visualization tools and solid understanding of data visualization concepts.
Track-record of solving complex problems and learning fast.

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.