Revolutionizing how hundreds of millions of people use their devices to get information by improving search and knowledge experiences across Apple products.
Requirements
- 5+ years of experience in leading engineering/applied research/ML experiences in natural language processing, SOTA generative AI models
- Proven record of consistent delivery of technology/products across the full Machine Learning life cycle
- Proven background in Machine Learning, NLP, and large-scale Search, with the ability to guide teams at the forefront of these fields.
- Deep expertise in retrieval and ranking models and the broader search stack, with a track record of delivering production-quality systems at scale.
- Strong engineering leadership and fundamentals, with experience building and mentoring high-performing teams.
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
Responsibilities
- Leading the development of the ranking and retrieval technologies that power question answering and search across Apple products.
- Designing and evolving large-scale machine learning and data systems applied to graph data, web documents, and diverse structured and unstructured data sources.
- Driving advancements in question answering and search, as well as the underlying ranking and retrieval technologies.
- Setting technical direction, foster deep cross-functional collaboration, and deliver products that delight users daily while significantly impacting how information is accessed and applied across Apple’s ecosystem.
- Oversee the delivery of end-to-end improvements in search quality, spanning data pipelines, ML models, and distributed systems.
- Drive the adoption of advanced ML methods while ensuring pragmatic, production-ready implementations.
- Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems.
Other
- Partner with product, data science, and infrastructure leaders to deeply understand their priorities and translate them into clear technical strategies.
- Balance partner needs by designing solutions that advance user-facing experiences while ensuring system scalability, reliability, and efficiency.
- Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts.
- Excellent product vision and sound business judgment; able to balance long-term strategy with short-term deliverables.
- Exceptional communication and collaboration skills, with the ability to align cross-functional stakeholders (product, data science, infrastructure) around shared goals.
