The Answers, Knowledge, and Information team at Apple is looking to revolutionize how hundreds of millions of people use their devices to get information, and is seeking an Engineering Manager for the Search and Knowledge Quality team to lead the development of ranking and retrieval technologies that power question answering and search 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
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
- 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.
Responsibilities
- 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.
- 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.
- Grow, mentor, and develop a diverse team of engineers, fostering collaboration with applied scientists and system experts.
- Provide technical and organizational leadership, ensuring execution excellence while crafting a long-term strategy for search and knowledge systems.
Other
- MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field
- 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.
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.
