Applied ML Intern, Wireless Technologies & Ecosystems

Applied ML Intern, Wireless Technologies & Ecosystems

Summary

People at Apple don’t just build products — they craft the kind of experience that has revolutionised entire industries. The diverse collection of our people and their ideas encourage innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple.

Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants including minorities, women, protected veterans and individuals with disabilities.

Description

Join the Wireless Technology and Ecosystems team and be part of a highly skilled team of engineers and researchers, working with cross-functional teams to drive innovation and develop products used by millions worldwide.

Apple’s Cellular Software team is seeking highly motivated and disciplined researchers and engineers to work across layers on groundbreaking cellular technologies. The position involves identifying and developing AI/ML-driven solutions and core cellular technologies that solve everyday problems for customers across iPhone, iPad, Apple Watch, and other wireless product lines.

We are passionate about keeping our users connected wherever they go. The team takes pride in developing innovative software solutions while challenging traditional approaches in the cellular ecosystem. We are looking for individuals who are equally passionate about AI/ML, cellular technologies, and solving complex real-world problems.

You will work in a dynamic, fast-paced environment with opportunities to explore innovative technologies, develop research prototypes, and translate ideas into solutions that can improve the next generation of wireless products.

If you are passionate about AI/ML research, cellular technologies, and building solutions that can have real-world impact, we are looking for you.

Preferred Qualifications

Experience developing and evaluating ML models on real-world datasets. Ability to formulate ML problems from ambiguous engineering challenges and apply appropriate model evaluation and experimental methodologies.


Experience with time-series analysis, anomaly detection, clustering, or predictive modelling is desirable. Strong mathematical foundation in linear algebra, probability, and optimization.


Understanding of wireless communication concepts is a plus. A strong research mindset, curiosity to explore novel AI/ML approaches, and the ability to convert research ideas into working prototypes are highly valued.

Minimum Qualifications

We are looking for highly motivated PhD students (2nd Year or beyond) in AI/ML, Computer Science, Communication Engineering, or related fields to work on applied AI/ML research problems involving real-world engineering data.

Strong fundamentals in Machine Learning, Statistics, and Optimization, with strong programming skills in Python and JavaScript. Deep understanding of software development concepts, algorithms, data structures, Operating Systems, and software engineering practices.

Knowledge of LLMs, Generative AI, Transformers, RAG, or AI Agents is desirable. Exposure to vector databases, MCP, tool calling, or agentic AI is a plus.

Ability to read, understand, and implement ideas from AI/ML research papers, analyze model failures, and improve model performance, robustness, and generalization.

Strong problem-solving, analytical, technical communication, and collaboration skills are expected.

Experience Level

Entry Level