Machine Learning Engineer, Storytelling

Apple Inc.; Cambridge; On-site; GBP 20,000 - 30,000; Full time

Job summary

A leading technology company in Cambridge is seeking an enthusiastic intern to join their Photos Intelligence team. This role focuses on exploring the intersection of AI and software engineering, creating innovative prototypes that revolutionize user interaction. The ideal candidate has a strong foundation in computer science and is excited about AI's potential to deepen personal connections. Join us for a unique opportunity to engage with cutting-edge technology in a collaborative environment.

Qualifications

• Solid foundation in computer science fundamentals, including data structures and algorithms.
• Familiarity with machine learning concepts and frameworks.
• Demonstrated programming skills in Python, Swift, or C++.

Responsibilities

• Explore AI and software engineering intersection within the Photos Intelligence team.
• Prototype innovative AI-driven experiences and build proof-of-concept implementations.
• Collaborate with AI/ML researchers to translate AI concepts into tangible prototypes.

Skills

Computer science fundamentals

Machine learning concepts

Programming in Python

Programming in Swift

Programming in C++

Collaborative communication

Job description

Cambridge, England, United Kingdom Machine Learning and AI

At Apple, we don't just build products—we craft experiences that become part of people's lives. The Photos app isn't just software; it's where life's most precious moments live, and where AI meets human emotion.The Cambridge Photos Intelligence team sits at the cutting edge of this mission. We're the engineers and researchers building AI-powered experiences that help users rediscover forgotten gems, relive perfect moments, and find meaning in their visual stories. We're pioneering the next frontier of Apple Intelligence—where technology becomes invisible and magic feels effortless.As an intern on our team, you'll prototype new capabilities and help shape the next generation of Photos intelligence. Our environment moves quickly, from research and experimentation to implementation and productization.

Description

In this internship, you will explore the cutting-edge intersection of AI and software engineering within the Photos Intelligence team. You will investigate novel applications of Large Language Models (LLMs) and AI agents to revolutionize how users interact with their photo libraries.Working in a fast-paced research environment, you will prototype innovative AI-driven experiences and build proof-of-concept implementations that demonstrate new interaction paradigms. You will collaborate with AI/ML researchers to translate AI concepts into tangible prototypesThis role offers the unique opportunity to be at the forefront of Apple Intelligence integration, using Photos as the ideal playground of personal data to pioneer next-generation AI experiences. You will contribute to groundbreaking research while gaining hands-on experience in both cutting-edge AI technologies and software engineering practicesWe are seeking an intern passionate about pushing the boundaries of human-computer interaction and excited about the potential for AI to create deeper connections with personal memories.

Minimum Qualifications

• Excellent foundation in computer science fundamentals, including data structures, algorithms, and software engineering principles
• Experience with machine learning concepts and frameworks (academic projects, coursework, or personal projects welcome)
• Demonstrated programming skills in languages such as Python, Swift, or C++ through coursework, internships, or personal projects
• Ability to work collaboratively in team environments and communicate technical concepts clearly

Preferred Qualifications

• Experience integrating ML models into applications or prototypes
• Familiarity with iOS/macOS development or mobile application development
• Previous work on consumer-facing applications through projects or coursework
• Passion for photography, visual storytelling, and creating meaningful user experiences