AIML- Staff ML Engineer, Machine Learning Platform Technologies
About The Position
We design and build infrastructures to support features that empowers billions of Apple search users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.
Requirements
- BS, MS, Ph.D. in a related field, or equivalent experience Experience Machine learning
- Expertise in large-scale information retrieval, high-volume data mining, and contemporary machine learning methodologies.
- Strong coding skills
- Strong background in computer science: algorithms and data structures
- Experience with backend development, code performance tuning and testing
- Experience with cloud services and Kubernetes
- 5+ years of experience leading and driving complex, ambiguous projects.
Nice To Haves
- Experience with search infrastructure
- Experience with cluster setup / management, monitoring and logging
- Excellent interpersonal skills able to work independently as well as in a team
Responsibilities
- Build, evolve, and scale state-of-the-art machine learning system infrastructure powering Apple's Search Platforms.
- Be a key engineer contributing to the design, development and operation of the large-scale infrastructure systems.
- Work with other Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to tackle sophisticated problems.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
