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

Apple is seeking a Machine Learning engineering technical leader to join their ML group focused on search applications. This Staff ML Engineer role will lead the development of novel retrieval and ranking techniques that power search experiences across Apple products.

The position offers an opportunity to shape the future of retrieval and ranking quality at Apple through innovative research and implementation. You'll work on creating intelligent search applications using cutting-edge machine learning, particularly in areas like natural language processing and large language models.

As a technical leader, you'll guide complex projects while mentoring junior engineers and growing the team's capabilities. The role involves both hands-on technical work - developing algorithms and models - as well as strategic leadership in defining the technical vision and roadmap.

Key focus areas include:

• Leading research and implementation of personalized retrieval/ranking systems
• Applying advanced NLP and deep learning techniques to query understanding
• Analyzing and improving search quality metrics
• Cross-functional collaboration on product requirements
• Continuous optimization of production models

The ideal candidate brings 7+ years of ML experience, strong software engineering skills, and proven technical leadership ability. You should be passionate about search technology and capable of both technical execution and strategic thinking.

Benefits include competitive base pay ($175,800-$312,200), equity through stock programs, comprehensive medical/dental coverage, education reimbursement, and more. This is an opportunity to work on ML systems that impact millions of users while helping shape the technical direction of search at Apple.