About the role#
As an intern within the Artificial Intelligence and Machine Learning organization, you will contribute to projects that integrate hardware and software to impact user experiences. This role focuses on advancing machine learning technology while prioritizing privacy, accessibility, and fairness.
What you'll do#
- Engage in projects involving large language models, diffusion models, and reinforcement learning.
- Contribute to initiatives focused on accessibility, privacy, and fairness.
- Collaborate with team members to build innovative products.
- Impact user experiences through the application of machine learning.
What you'll need#
- Explore and develop new methods and theories in machine learning.
- Apply machine learning techniques to solve complex problems.
- Conduct research and publish findings.
- Challenge existing metrics and protocols to advance state-of-the-art technology.
- Pursue a degree in Computer Science, Data Science, Mathematics, Electrical Engineering, Biomedical Engineering, Cybersecurity, Communications, or Philosophy.
Location & details#
- Location: United States
- Modality: On-site
- Schedule: Full-time, 40 hours per week
- Term: Rolling
About Apple
Apple designs and manufactures consumer electronics, software, and online services. Founded in 1976, the company maintains its headquarters in Cupertino, California. It operates in the computers and electronics manufacturing industry. The organization employs over 200,000 people globally.
How to get in at Apple
Securing an internship at Apple requires speed, as early applicants are often reviewed before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you apply among the first. This timing often provides a distinct advantage in the initial screening process. You can also improve your response rates by reaching out to recruiters directly to ask about the role or a referral. Intern Insider surfaces the specific recruiters behind Apple roles, allowing you to bypass the standard queue and connect with the people actually making the hiring decisions.
