AI/ML – Data Infrastructure Client and Tooling Engineer, Siri Search, Knowledge & Platform

Apple
Apple

Job Overview

Key Qualifications

  • 5+ years of experience in big data ecosystem. Example technologies include batch and stream processing (e.g. Spark, Hive, Flink, Beam), analytical engines (e.g. Presto, Druid), search platform (e.g. Solr/Lucene), tooling (e.g. Airflow, Jupyter, Superset, Tableau), and storage format (e.g. Iceberg)
  • Excellent verbal and written communication skills, able to collaborate cross-functionally with data science, machine learning, data platform and analytics teams
  • Customer-focused mindset, with emphasis on user experience and satisfaction
  • Superb problem-solving skills, and able to thrive in a fast-paced and dynamic environment
  • Hands-on in designing, building, scaling, and troubleshooting solutions to big data problems
  • Must be self-driven, and able to provide advice and support to users to properly integrate with our data platform
  • Programming experience in Java, Python, Scala, or similar languages
  • Passionate about latest big data technologies, open source community presence is a big plus
  • Experience with AWS, Kubernetes, Infrastructure-as-code, and data privacy & compliance is a big plus
  • Description

    You will be a key member in the client engineering team that drives user engagement with our new generation of data platform, collaborates cross-functionally with data, product management, and infrastructure teams, and provides data tools to enable ingesting, storing, processing and interacting of data with a focus in user experience. RESPONSIBILITIES INCLUDE:- Collaborate with our infrastructure users and product management to ensure success in customer engagement and onboarding of new users – Be an advocate of our tech stack, stay on top of technology advancement and explore innovation opportunities – Prototype, build, diagnose, fix, improve and automate complex issues across the entire stack to power ETL, analytics and privacy efforts across AI/ML – Advise and support other teams (within and outside of Siri) on proper integration of our platform, including holding regular brown bag, office hour and training sessions – Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs – Establish and fulfill SLAs for supported data tools

    Education & Experience

    BS, MS, or PhD degree in Computer Science or equivalent

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