Machine Learning Engineering Intern, Personal Agentic Search

At Apple, we build products that become part of people's lives.

Every day, people rely on their devices to hold their messages, documents, photos, and notes.

The Personal Agentic Search team uses Apple Intelligence to help them find and act on that information in natural, intuitive ways.

We are engineers and researchers building AI-powered agents that understand a person's context, reason over their personal data, and retrieve exactly what they need, all while preserving the privacy Apple users expect.

As an intern, you will help build and evaluate the machine learning systems behind these experiences and see your work shape features that millions of people could use.

This internship sits at the intersection of NLP, large language models, and information retrieval.

You will work on real projects alongside experienced engineers and researchers, helping turn research ideas into robust, user-facing experiences.

We are looking for someone with a strong foundation in computer science and machine learning, and a real curiosity about how language models and search systems work.

You don't need to be an expert in every area, but you should be excited about applying ML to hard, user-centered problems.

• Currently pursuing a BS, MS, or PhD in Computer Science, Machine Learning, or a related field.
• Strong foundation in computer science fundamentals (data structures, algorithms, software design) and proficiency in at least one programming language such as Python, Swift, C++, or Java.
• Solid foundation in machine learning and working knowledge of NLP fundamentals (tokenization, embeddings, language modeling, text classification), gained through coursework, research, personal projects, or professional experience.
• Strong communication and collaboration skills, with a desire to work in a team environment.

• Familiarity with LLM architectures (e.g., Transformers, attention mechanisms) and how they are trained and applied.
• Familiarity with search and retrieval algorithms, such as indexing, ranking, nearest-neighbor search, and relevance evaluation.
• Experience with agentic LLM workflows, such as planning, tool calling, and multi-step reasoning.
• Experience with on-device machine learning or privacy-preserving ML approaches.
• Experience designing experiments, metrics, and datasets to evaluate model or search quality.
• Proficiency in more than one of Python, Swift, and C++.

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.

As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations.

Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

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At Apple, we believe accessibility is a fundamental human right.

You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools.

By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace