Apple Services Engineering AI/ML organization is looking to build next-generation media discovery experiences for Apple's devices and platforms, leveraging AI and ML at scale to enhance search, browse, and recommendations for Apple's media offerings including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
Requirements
- Strong programming skills in Java, Scala, Python and experience with ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar.
- Solid understanding of modern ML architectures, big data pipelines, and evaluation techniques.
- Experience working in the AI/ML field.
- Expertise in large-volume big data processing (batch or streaming) and experience with Apache Spark and Apache Flink.
- Familiarity with agentic workflows, Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Pinecone), and knowledge graphs.
Responsibilities
- Design, develop, and deploy high-performance machine learning inference services with a focus on scalability and efficiency.
- Build and maintain data processing pipelines to support model training and tuning across large datasets.
- Manage and optimize GenAI & Machine Learning training pipelines to improve performance in distributed computing environments.
- Work on implementation of applications such as summarization, question answering, chatbots, information retrieval, semantic search, and text generation.
- Use data driven analysis to ideate, evaluate and prioritize features, and conduct A/B Tests to ensure we objectively measure improvements.
- Ensure successful delivery of features, code, data, and models to production.
- Collaborate with researchers, engineers, and operations teams to ensure that features and models are functioning at or above expected performance levels, globally in languages from Arabic to Vietnamese and everything in between!
Other
- BS in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- MS/PhD in Computer Science, Computer Engineering, Information Systems, Electronic Engineering or related fields.
- Strong communication skills and adept at working with cross functional partners to design cohesive engineering solutions that scale ML products for billions of users.
- 4+ years of experience working in the AI/ML field.
- 2+ years of experience working in the AI/ML field.
