Applied Data Solutions Program Intern

Apple Inc

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Work type: On-site
Location: Cupertino, CA
Posted: 60 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $158k

$99k $213k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $114,400–$202,200.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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TL;DR · Applied Data Solutions Program Intern

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JOB TITLE: Applied Data Solutions Program, Internships – Summer 2027 The Applied Data Solutions Program offers internships across machine learning engineering, software engineering, data science, and AI development teams. Interns work alongside engineers and scientists to design, build, and deploy scalable, production-grade systems and tools. Key responsibilities include applying data analysis, predictive modeling, and generative AI techniques to maintain end-to-end operational solutions. You will work with large, complex data sets to implement real-time and batch decisioning pipelines while exploring emerging capabilities like large language model integration. Required skills include proficiency in Python, Scala, Java, or C++, along with knowledge of data structures, machine learning algorithms, and the software development lifecycle. Preferred experience includes using SQL, Spark, PyTorch, TensorFlow, or scikit-learn to extract insights from large-scale data sets.

Skills

Python Scala Java C++ SQL Spark PyTorch TensorFlow scikit-learn LLM Generative AI Machine Learning Data Modeling Data Structures Software Development Lifecycle Data Analysis Predictive Modeling

What you'll do

Design, build, and deploy scalable, production-grade systems and tools.
Apply data analysis, predictive modeling, and generative AI techniques to build operational solutions.
Analyze large, complex datasets to create analytical models and actionable insights.
Implement robust real-time and batch decisioning pipelines in production environments.
Contribute to emerging AI/ML capabilities, including large language model integration.
Translate complex technical concepts into clear, business-focused solutions.

What we're looking for

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.
Experience with data querying tools (SQL, Spark, etc.) and extracting insights from complex, large-scale data sets (preferred).
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) or cloud-based data platforms (preferred).
Exposure to LLMs, generative AI, or applied AI product development (preferred).