Software Engineering Intern (Machine Learning & AI Workflows)

Summary

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion for problem-solving and dedication to your job, and there's no telling what you could accomplish. We advance the state of the art to improve the lives of our customers worldwide.

The Video Computer Vision (VCV) team is dedicated to fundamental and applied research in computer vision and machine learning. Our team delivered the gaze tracking system fundamental to the Apple Vision Pro and is continuously developing solutions for Apple’s next‑generation products. We are seeking a highly skilled Software Engineering Intern who is passionate about building robust ML infrastructure, building data analysis pipelines, and shaping the future of AI‑assisted engineering at Apple.

Description

This position requires a highly motivated individual who wants to push what can be done for machine learning model development, analysis, and deployment using AI workflows. Your goal will be to be a force multiplier for the team. You will be responsible for building debugging tools, accelerating machine learning training loops, and pushing forward what is possible with AI workflows.

Potential Internship Areas Include

• Designing and implementing AI‑driven workflows and agentic systems to automate and improve internal engineering processes.
• Building AI centered debugging and visualization workflows.
• Building scalable, high‑quality software architecture to support deep learning research and hardware integration.

Minimum Qualifications

• Currently pursuing a bachelor's, master's, or PhD degree in Computer Science, machine learning, or a related field.
• At the end of the internship, you must return to school to continue your education, or the internship must be the last requirement for you to graduate.
• Very strong software engineering skills with fluency in Python.
• Solid understanding of machine learning fundamentals, with hands‑on familiarity in PyTorch and writing ML training loops.
• Practical experience utilizing AI coding assistants and agentic workflows.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Contributions to open source projects.
• Familiarity with distributed training, GPU optimization, and ML infrastructure.
• Strong experience with CI/CD and testing frameworks.
• Previous industry experience in software engineering, MLOps, or AI tooling is a strong plus.
• Experience with C++/Obj‑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. We will work with applicants to make any reasonable accommodations.

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.

Role Number: