Apple Services Engineering (ASE) team is looking to improve the quality of search results, autocomplete, and QnA systems for Apple's search and discovery experiences
Requirements
- Expertise in ranking, retrieval, LLM fine-tuning, personalization, and search quality
- Experience with hillclimbing, iterative evaluation, and high-throughput training pipelines
- Strong engineering leadership with a focus on clarity, execution, and impact
- Ability to align cross-functional teams and balance long-term vision with rapid iteration
- Experience with NLP, LLMs, ranking, or search systems
- Strong delivery record across the full AI/ML lifecycle
Responsibilities
- Lead hillclimbing/quality improvement and fine-tuning across core quality areas: Search & Autocomplete Ranking, Search Personalization, Spam detection, Query Understanding, Retrieval Agents
- Own and evolve the model-training system, spanning data pipelines, evaluation, and production workflows
- Partner with XF teams to align goals, unblock training needs, and accelerate quality improvements
- Drive pragmatic, production-ready use of SOTA ML and LLM models
- Build, mentor, and develop a high-impact engineering team
- Provide clear technical direction and operational excellence across multiple quality streams
Other
- 5+ years managing engineering or AI/ML teams
- MS or Ph.D. in Computer Science, Machine Learning, Information Retrieval, or related field
- Ability to align cross-functional teams and balance long-term vision with rapid iteration
- Strong delivery record across the full AI/ML lifecycle
- Apple is an equal opportunity employer that is committed to inclusion and diversity
