Applied Data Solutions Program, Internships – Summer 2027

The Applied Data Solutions Program (ADSP) Internship is your opportunity to bring your technical education background to life by solving real-world problems and developing data-driven solutions. Immersed in a culture of collaboration and innovation, you'll work directly with Apple's extensive data infrastructure and analytics platforms, tackling challenges designed to engage your curiosity and expand your skillset. You'll have close mentorship to support your growth in both technical expertise and professional skills, and your work will have a direct and measurable impact. If you're a student who is curious, passionate about data and analytics, and loves solving complex problems, we'd love to hear from you.

Description

To express interest in the Applied Data Solutions Program (ADSP) Summer 2027 Internship, please provide both your: • Resume • Unofficial transcript The ADSP Internship spans multiple teams, with opportunities across machine learning engineering, software engineering, data science, and AI development. While the team you're placed on will be determined by your background and technical focus, you can expect to: • Work side-by-side with Software Engineers, Machine Learning Engineers, and Data Scientists to design, build, and deploy scalable, production-grade systems and tools. • Apply data analysis, predictive modeling, and generative AI techniques to build and maintain end-to-end operational solutions. • Work with large, complex data sets to drive solutions through analytical models and translate data into impactful, actionable insights. • Collaborate with technical partners to implement robust real-time and batch decisioning pipelines in production environments. • Explore and contribute to emerging AI/ML capabilities, including large language model (LLM) integration and applied machine intelligence.

Minimum Qualifications

Pursuing an undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning, Artificial Intelligence, or a related field Proficient in at least one programming language such as Python, Scala, Java, C++, or equivalent Practical experience through coursework, projects, or internships in software engineering, data science, or machine learning Understanding of the software development lifecycle, data modeling, data structures, and machine learning algorithms Excellent problem-solving, critical thinking, and communication skills

Preferred Qualifications

Experience with data querying tools (SQL, Spark, etc.) and extracting insights from complex, large-scale data sets Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) or cloud-based data platforms Exposure to LLMs, generative AI, or applied AI product development Ability to translate complex, ambiguous technical concepts into clear, business-focused solutions Self-motivated, detail-oriented team player who thrives in a fast-paced, collaborative environment