AIML – Staff Machine Learning Engineer, Retrieval and Ranking Quality (SII) Full-time

Summary
We are looking for a Machine Learning engineering technical leader with a passion for using machine learning to create intelligent search applications. Our team researches and implements novel retrieval and ranking techniques, machine learning algorithms and models that power amazing Search experiences across Apple products.

We are looking for an ambitious technical leader to join our ML group. This role will have the opportunity to initiate and lead exciting projects to further shape the state of retrieval and ranking quality at Apple. As a Staff Machine Learning engineer, you will use innovative data mining, machine learning and data-driven analytical skills to solve challenging technical problems and ship novel products that will delight millions of people!

Description
This role will have the chance to create and evaluate new retrieval and ranking algorithms, models and methods that will impact Apple and the broad AIML community. Role responsibilities include:

– Lead the research, design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized retrieval 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 cross-functional teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction.
– continuously on improving the metrics and performance of models the team has launched in production by leverage innovative ML techniques.