Machine Learning Engineer, ASE Search Team

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video team builds the core intelligence that powers search discovery experiences in the Apple TV App Siri and Spotlight cross platforms helping users effortlessly find and enjoy the content they love. We are a collaborative high-impact team that values innovation craftsmanship and end-to-end ownership from idea to launch. Our systems combine large-scale data modern retrieval and ranking models and a deep commitment to user us youll develop scalable systems and machine learning models that drive search relevance personalization and understanding of content at scale. Working closely with cross-functional partners in product and design youll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day.

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 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 is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into productionshaping 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 and implement retrieval and ranking systems using semantics and user and deploy ML NLP and LLM models to improve search relevance and data and model performance to identify opportunities for search quality automated tests for continuous integration and ensure successful production A/B tests to measure search with cross-functional teams to innovate intelligent video catalog text search recall and ranking for global Apple devices across all platforms and big data tech to evaluate content discovery systems meet Apples privacy efficiency and user experience standards.

Experience in machine learning NLP IR or more recently Large Language Model ( LLMs).nStrong programming skills in Python Java and Go for building scalable ML -on expertise in ML libraries such as PyTorch JAX TensorFlow for model training and to translate product goals into technical solutions improving user communication collaboration and analytical problem-solving -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 experience in search classification recommendation systems or related with A/B testing and data-driven product about creating products loved by customers at 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 in transformer architectures embeddings and retrieval or ranking in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design context management RAG and Agentic architectures and to evaluation and safety frameworks for LLM-based of reinforcement learning and other modern post training practices for for developing intelligent human-centered experiences to enhance content discovery.