About The Position

Apple Cloud AI Platform powers the machine learning, AI, and data systems behind intelligent experiences across Apple's consumer products. We are looking for a Software Engineer who is eager to build the tools, interfaces, and workflows that ML developers and researchers use every day from intuitive front-end experiences to backend services and ML integrations at Apple scale. This is a great opportunity for an early-career engineer who wants to grow across the full stack from building intuitive UIs for internal platforms to integrating ML services and workflows into production systems working at Apple scale.

Requirements

  • 1 or more years of industry experience building production software
  • Proficiency in Python and JavaScript/TypeScript
  • Familiarity with REST APIs and backend service integration
  • Basic understanding of ML concepts, model inference, evaluation, or data pipelines
  • Contributions to open-source projects or experience building internal developer tooling
  • Strong communication skills and ability to work collaboratively in a team environment
  • Curiosity, a growth mindset, and willingness to work across the stack
  • BS/MS in Computer Science, Software Engineering, or a related field with applicable internship or project experience

Nice To Haves

  • Experience building product experiences or web applications with React or a comparable modern framework
  • Experience with cloud environments (AWS, GCP, or Azure), Docker, or CI/CD pipelines
  • Familiarity with ML frameworks such as PyTorch, Hugging Face, or LangChain
  • Exposure to LLM application development, RAG, prompt engineering, evaluation pipelines, or agentic workflows
  • Experience with data infrastructure tools such as Spark, Kafka, or SQL-based analytics systems
  • Ability to work independently on scoped features with minimal supervision

Responsibilities

  • Work alongside a team of senior engineers to build and ship features across our AI and Data platform.
  • Contribute to both internal front-end products that teams use to interact with our platform as well as the backend services and ML integrations that power them.
  • Take ownership of features end to end.
  • Write clean and tested code.
  • Collaborate closely with teammates, product managers, and partner teams.
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