Job Description

Locations

• Seattle, Washington, United States 98117

Salary

Skills Required

• Machine Learningintermediate
• Natural Language Understandingintermediate
• Generative AIintermediate
• LLMsintermediate
• Transformer-based modelsintermediate
• Design and deploy modelsintermediate
• Build systemsintermediate
• Understand user intentintermediate
• Rank results intelligentlyintermediate

Required Qualifications

• 2+ years of experience in machine learning, natural language processing, information retrieval, or LLM-based systems. (experience, 2 years)
• Strong programming skills in Python or C++, with experience building scalable ML systems. (experience)
• Deep understanding of transformer architectures, embeddings, and retrieval or ranking models. (experience)
• Experience applying or fine-tuning Large Language Models (LLMs) for understanding and generation tasks. (experience)
• Familiarity with prompt design, contextual retrieval, or RAG-style architectures. (experience)
• Proven ability to translate product goals into technical solutions and deliver measurable improvements in user experience. (experience)
• Excellent communication, collaboration, and analytical problem-solving skills. (experience)

Preferred Qualifications

• Experience with music, media, or recommendation systems. (experience)
• Background in semantic retrieval, vector databases, or hybrid search architectures. (experience)
• Hands-on experience with PyT orch, JAX, or TensorFlow for model training and deployment. (experience)
• Exposure to evaluation and safety frameworks for LLM-based systems. (experience)
• Understanding of reinforcement learning from human feedback (RLHF) or preference modeling. (experience)
• Passion for crafting intelligent, human-centered experiences that enhance music discovery. (experience)

Responsibilities

• As Machine Engineer on the Music Search team within Apple Services Engineering (AIML), you will help shape the future of how millions of users discover and experience music across Apple platforms. You’ll design and deploy models that combine machine learning, natural language understanding, and generative AI to deliver more intuitive and personalized search experiences.
• You will build systems that understand user intent, rank results intelligently, and bring the magic of LLMs and transformer-based models into real-world applications. This is a hands-on role where your work will directly impact how users interact with Apple Music app, Siri, Spotlight, and other experiences across the Apple ecosystem.
• In this role, you will:
• 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.

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