Apple's Siri and Spotlight need to improve how hundreds of millions of people find and discover local businesses, places of interest, and addresses, by providing relevant and easy access to local information like restaurant details, business hours, coffee shop addresses, and directions.
Requirements
- 8+ years of experience in information retrieval, natural language processing, machine learning, or deep learning.
- Deep understanding of machine learning theory, including supervised learning, ranking models, embeddings, representation learning, and evaluation metrics.
- Proven ability to apply advanced ML techniques to improve search relevance and retrieval quality at scale.
- Comfortable leading experimentation, offline evaluation, and online A/B testing for iterative improvements in search quality.
Responsibilities
- Own the entire ML development cycle from opportunity analysis, exploration, and prototyping to data collection, feature engineering, training, evaluation, and deployment in production.
- Lead the development of machine learning models to improve search quality across retrieval, ranking, reranking, and query understanding.
- Improve search quality and experience by leveraging techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate.
- Mentor junior engineers and provide technical leadership in architecting ML systems and designing ML models.
- Understand product requirements, then translate them into modeling tasks and engineering tasks.
Other
- Excellent interpersonal skills, the ability to work independently as well as as part of a team.
- Master’s Degree in Computer Science or equivalent experience in machine learning or a related field.
- Advanced diploma in AI, Machine Learning, Computer Science, or Mathematics
