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Internship - AI/ML Engineer - Intelligent Analytics at Apple

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, Java, Swift, Deep Learning, PyTorch, TensorFlow, Keras, Data Engineering, Spark, Hadoop, SQL, Data Modeling, Automation, Analytics, Data Pipelines

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

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.