Internship - AI/ML Engineer - Intelligent Analytics

Summary

Apple engineers have always focused on one person when they build software — the person who will use it. Working with them, you’ll see why every Apple product and service feels intuitive and simple, and why every aspect of this group’s work is built around respect for the customer’s needs. Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Intern with a passion for SW development & test automation. We are passionate about wireless technology and work closely with developers across Apple, worldwide.

Description

In this role, you will design and implement the next generation of data analytics while building robust pipelines that transform massive datasets into actionable insights. You will create automation and analytics frameworks that help teams across Apple make smarter, faster decisions, and collaborate with a global team of engineers to deliver scalable architectures and cutting-edge AIML solutions. This innovation-driven environment will inspire you to explore, prototype, and make real impact.

Minimum Qualifications

• Strong foundation in machine learning (supervised/unsupervised, similarity learning, embeddings, clustering, etc.).
• Hands-on experience with Python (preferred), Java, or Swift.
• Excellent problem-solving, analytical, and communication skills.
  
  

Preferred Qualifications

• Practical knowledge of deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Experience with data engineering for data pipelines (Spark, Hadoop, Hive/Impala, or similar).
• Familiarity with Ops tools (Kubernetes, Docker, Airflow) and deploying models at scale.
• Strong understanding of SQL and data modeling for analytics.
• Experience with vector databases, embeddings, RAG pipelines, or large-scale data processing
  
  

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.