Senior Software Engineer (Search, distributed computing, Big Data, ML), Apple Media Products
Santa Clara Valley (Cupertino), California, United States
Software and Services
- Ideal candidate will be able to demonstrate a strong practical understanding of how to develop practical, fault-tolerant high-performance distributed systems and data pipelines at scale.
- Applicants will have 3+ years experience in industry or research developing robust, server-side Java, Scala, Python code and will be able to demonstrate creativity, initiative and the ability to work to deadlines. Experience and/or education must include:
- Java or equivalent Object Oriented Languages
- Understanding of HTTP and restful API design
- Machine Learning
- Big Data pipelines
We are seeking an exceptional engineer to help build the next-generation of search features for Apple's ground breaking devices and platforms for a product that supports billions of transactions. If you want to craft new ways for customers to discover content in a rapidly growing catalogue on a range of devices and platforms, this is the place to be. Responsibilities include: - Ability to architect, prototype and collaborate to deliver scalable/performant runtime systems. - Design and develop run-time services and off-line data pipelines in Java. - Design and develop off-line pipelines, data analysis and A/B experiment analysis in Map/Reduce, Spark and/or Scoobi. - Work with large data sets to build user and content models in collaboration with Research team. - Collaborate with the Research team to build recommendation models using Machine Learning. - Design, build and test debugging tools to help visualize recommendation models and analyze software problems. - Build prototypes, A/B Test pipelines to evaluate algorithm improvements. - Develop pipelines to store big data (both content and user) on Hadoop using Map/Reduce techniques.
Education & Experience
Master’s degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 2 years of experience in the job offered or related occupation.