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Home · Apple · Applied Data Solutions Program, Internships – Summer 2027

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