About the role#
This internship within the Artificial Intelligence and Machine Learning (AIML) organization offers the opportunity to contribute to the integration of machine learning into daily life. Interns work across various fields, including large language models, diffusion models, reinforcement learning, accessibility, privacy, and fairness. You will collaborate with industry experts to build innovative products and experiences.
What you'll do#
- Explore new methods in machine learning.
- Apply machine learning techniques to solve ambitious problems.
- Advance state-of-the-art technology through research and publications.
- Challenge existing metrics or protocols.
- Develop new theories that impact the understanding of machine learning.
- Contribute to the development of innovative products and user experiences.
What you'll need#
- Current enrollment in a PhD program.
- Academic background in Computer Science, Data Science, Electrical Engineering, Mathematics, or Statistics.
Location & details#
- Location: United States.
- Work 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.
