The AIML team in Apple Services Engineering is building the future of how millions of users discover, explore, and enjoy music across Apple Music, Siri, Spotlight by harnessing the potential of Machine Learning, Natural Language Understanding, and Generative AI
Requirements
- 2+ years of experience in machine learning, natural language processing, information retrieval, or LLM-based systems
- Strong programming skills in Python or C++, with experience building scalable ML systems
- Deep understanding of transformer architectures, embeddings, and retrieval or ranking models
- Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks
- Familiarity with prompt design, contextual retrieval, or RAG-style architectures
- Experience with music, media, or recommendation systems
- Hands-on experience with PyTorch, JAX, or TensorFlow for model training and deployment
Responsibilities
- Build and deploy LLM-powered and ML-driven models to improve search relevance, personalization, and user intent understanding for music discovery
- Design retrieval and ranking systems that combine semantics, user context, and catalog metadata
- Collaborate with cross-functional teams across engineering, data science, and design to define the next frontier of intelligent music search
- Analyze large-scale data and model performance to identify new opportunities for improving search quality
- Ensure your systems meet Apple’s standards for privacy, efficiency, and delightful user experience
Other
- Excellent communication, collaboration, and analytical problem-solving skills
- Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
- Discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
