Apple Machine Learning Internship Program

Apple Machine Learning2026 in Bengaluru: Eligibility, Skills and Apply Link

Apple is accepting applications for an Applied ML Intern, Wireless Technologies & Ecosystems role in Bengaluru. This research focused opportunity is for PhD students in their second year or beyond who want to apply machine learning to real-world engineering challenges in wireless technology.

Apple Applied ML Internship 2026: Overview

Apple’s India careers listing confirms the Bengaluru location, posting date, role number and weekly hours. Its detailed posting sets out the PhD requirement and technical qualifications.

About the Role

The intern will join Apple’s Wireless Technologies & Ecosystems team and work with engineers, researchers and other teams on applied AI and machine learning problems involving engineering data. The work calls for turning research ideas into practical approaches that can support future wireless technologies.

Eligibility and Minimum Qualifications

This internship is aimed at current PhD students in their second year or beyond. Apple specifies AI/ML, Computer Science, Communication Engineering and related fields. It also seeks candidates with:

• Strong fundamentals in machine learning, statistics and optimization.
• Programming skills in Python and JavaScript.
• An understanding of algorithms, data structures, operating systems and software engineering practices.
• The ability to read AI/ML research papers, implement ideas and investigate why models fail.
• Strong problem solving, technical communication and collaboration skills.

Apple describes knowledge of LLMs, generative AI, transformers, retrieval-augmented generation (RAG) or AI agents as desirable. Exposure to vector databases, Model Context Protocol (MCP), tool calling or agentic AI is a plus.

Preferred Skills

Experience developing and evaluating ML models on real-world datasets would strengthen an application. Apple also mentions time-series analysis, anomaly detection, clustering and predictive modelling. A foundation in linear algebra, probability and optimization, an understanding of wireless communications, and the ability to turn research ideas into working prototypes are valued.

How to Apply

1. Open the official Apple careers listing below.
2. Review the current requirements and confirm the role is still accepting applications.
3. Select Submit CV or Submit Resume and follow Apple’s application steps.

Apply link: Apple Applied ML Intern, Wireless Technologies & Ecosystems

https://jobs.apple.com/en-us/details/200686019-0321/applied-ml-intern-wireless-technologies-ecosystems?board_id=17682

Note: This is a PhD level internship. The listing reviewed does not state an internship duration or stipend; check the application page for updates.