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

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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