AI/ML - Data Infrastructure Stream Processing Engineer, Siri Search & Knowledge Platform

Seattle, Washington, United States
Machine Learning and AI


Role Number:200182367
Data Infrastructure team within the Siri organization powers analytics, experimentation and ML feature engineering to power Siri we all love in our Apple devices. The mission of the Data Infrastructure org is to provide our engineers and data scientists a cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and ultimately help the teams that build data intensive applications be successful. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving Siri experience for Apple customers. We are looking for engineers who want to bring their passion for infrastructure to build world class infrastructure products. Are you a passionate about building scalable, reliable, maintainable infrastructure and solving data problems at scale? Come join us and be part of the Data Infrastructure journey.

Key Qualifications

  • Passionate about Data Processing and Streaming Technologies
  • Experience configuring and troubleshooting realtime processing systems (Flink, Spark Streaming, Samza, Kafka Streams or Storm)
  • Experience building, tuning and troubleshooting stateful stream processing applications
  • Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • Extensive programming experience in Scala, Java, Python or Go
  • Interest or knowledge in using public or private Kubernetes frameworks for scaling data and services infrastructure
  • Experience in configuration management (Puppet, Chef, or Ansible)


You will be responsible for the stream processing platform used for analytics and machine learning of worldwide Siri events. We process a triple digit billion events per day. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team’s goal is to ensure the reliability and performance at the highest level. As a member of the AIML Data Infrastructure Stream Processing Team, your responsibilities include: Manage one of Apple’s largest infrastructure supporting hundreds of millions of Siri customers Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance Take part in designing and building out our next generation realtime data processing infrastructure and push our services to the next level Harden and launch new data models and data pipelines in production Establish SLA’s for all data sets and applications running in production Advise other teams (within and outside of Siri) on proper integration of our platform Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs Manage the infrastructure which powers ETL, Analytics, and Privacy Efforts within AIML

Education & Experience

BS, MS, or PhD degree in Computer Science or equivalent and 5+ years experience in data technologies

Additional Requirements

  • Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace