Internship - ML Lifecycle Optimization
Internship - ML Lifecycle Optimization
Internship - ML Lifecycle Optimization
Internship - ML Lifecycle Optimization
Apple Inc
Computer-Hardware
Heidelberg
- Art der Anstellung: Studierende
- Vor Ort
Internship - ML Lifecycle Optimization
Über diesen Job
Summary
Posted:
Weekly Hours: 40
Role Number:200629038-1337
Application Deadline: 30th November 2025
As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. We are offering an amazing internship opportunity to work directly with our R&D team in Heidelberg, Germany. Collaborate with some of the best in the business and see how we create the world's most innovative products and experiences. Our internships are a minimum of three months, you must be enrolled as a student on a Masters or PhD program.
Description
Our aim is to create an experience that allows you to learn without pressure, gain practical skills, build real world experience, develop a greater understanding of our industry and form valuable connections. You will join an extraordinary team, including specialist software 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.
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.
Preferred Qualifications
- Distributed processing experience
- Typescript & React experience
- Experience in building and optimizing agentic systems
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.
Unternehmens-Details
Apple Inc
Computer-Hardware