Machine Learning Engineer, Video Search Team

As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. You’ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production—shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight. Solve complex research problems and implement solutions from concept to execution. Design and implement retrieval and ranking systems using semantics and user context. Build and deploy ML, NLP and LLM models to improve search relevance and personalization. Analyze data and model performance to identify opportunities for search quality enhancement. Develop automated tests for continuous integration and ensure successful production deployment. Conduct A/B tests to measure search improvements. Collaborate with cross-functional teams to innovate intelligent video catalog text search. Enhance search recall and ranking for global Apple devices across all platforms and languages. Utilize big data tech to evaluate content discovery features. Ensure systems meet Apple’s privacy, efficiency, and user experience standards. 4+ years of industry or practical experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). Strong programming skills in Python, Java and Go for building scalable ML systems. Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. Ability to translate product goals into technical solutions, improving user experience. Strong communication, collaboration, and analytical problem-solving skills. In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. Industrial experience in search, classification, recommendation systems, or related fields. Familiarity with A/B testing and data-driven product development. Passionate about creating products loved by customers at Apple. Master’s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. Experience with search or recommendation systems, and semantic retrieval or vector databases. Expertise in transformer architectures, embeddings, and retrieval or ranking models. Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. Exposure to evaluation and safety frameworks for LLM-based systems. Knowledge of reinforcement learning and other modern post training practices for LLMs. Passion for developing intelligent, human-centered experiences to enhance content discovery.

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