Data Solutions Program Intern

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Posted: 14 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $165k

$105k most similar roles pay here $217k

This listing doesn't post a salary. Most similar roles pay $123,625–$205,906.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Data Solutions Program Intern

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Applied Data Solutions Program, Internships – Summer 2027 offers students the opportunity to work across machine learning engineering, software engineering, data science, and AI development teams. In this role, you will collaborate with engineers and scientists to design, build, and deploy scalable, production-grade systems and tools. Your daily responsibilities include applying predictive modeling and generative AI techniques to maintain end-to-end operational solutions while translating complex datasets into actionable insights. You will also implement real-time and batch decisioning pipelines and contribute to emerging capabilities like large language model integration. Required skills include proficiency in Python, Scala, Java, or C++, along with experience in SQL, Spark, PyTorch, TensorFlow, or scikit-learn. The role focuses on solving complex problems by developing data-driven solutions within a sophisticated infrastructure of analytics platforms and machine intelligence.

Skills

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

What you'll do

Design, build, and deploy scalable, production-grade systems and tools alongside engineering teams.
Apply data analysis, predictive modeling, and generative AI techniques to maintain end-to-end 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 (LLM) integration.
Translate complex technical concepts into clear, business-focused solutions.

What we're looking for

Pursue an undergraduate or graduate degree in Computer Science, Data Science, Machine Learning, AI, or a related field.
Proficiency in at least one programming language such as Python, Scala, Java, or C++.
Practical experience in software engineering, data science, or machine learning through coursework, projects, or internships.
Understanding of the software development lifecycle, data modeling, data structures, and machine learning algorithms.
Experience with data querying tools like SQL or Spark to extract insights from large-scale datasets.
Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Exposure to LLMs, generative AI, or applied AI product development.
Strong problem-solving, critical thinking, and communication skills to translate technical concepts into business solutions.

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