Summary
The Siri and Information Intelligence team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information!
We are looking for a lead Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding and ranking techniques, machine learning algorithms and models that power amazing Search experiences across Apple products.
Description
This role will have the chance to build and evaluate new Intent Understanding and ranking algorithms, models and methods that will impact Apple Users and broader AIML community. Role responsibilities include:
- Lead the research, design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized intent understanding and ranking systems.
- Use advanced NLP, deep learning and LLM techniques to understand and match complex queries with relevant content.
- Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics.
- Develop a long-term technical vision; propose a roadmap for team setting clear objections.
- Collaborate with teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction.
- Establish metrics and continuously improve performance of models by applying innovative ML techniques.
