AI/ML - Data Infrastructure Engineer - Machine Learning Platform & Technologies

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Role Number:200427512
The Data Infrastructure team within the Machine Learning Platform and Technologies organization powers analytics, experimentation and ML feature engineering to power the Siri and other products 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 the Siri experience for Apple customers. 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 Analytics Technologies and building large backend systems
  • Experience configuring, scaling, and troubleshooting data processing and analytics infrastructure (Flink, Spark, Druid, Pinot, Airflow, etc)Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • Programming experience in Java, Python or C++
  • Excellent communication and collaboration skills
  • Experience with AWS and EKS

Description

You will be responsible for the backend infrastructure that powers the AI / ML Data teams applications and workflows for analytics and machine learning. Our infrastructure supports millions of users at 100+ PB scale. To run our environment efficiently, we drive for proper monitoring, alerting, automation and evolution. The team’s goal is to ensure the reliability and performance at the highest level and to evolve the platform infrastructure to meet our customer’s needs.

Education & Experience

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

Additional Requirements

  • * Manage and operate our data infrastructure hosted in AWS
  • * Collaborate across AI/ML teams to analyze and optimize infrastructure for different forms of data needs
  • * Evolve and modify data platform and tools to meet scalability needs
  • * Diagnose, fix, improve, and automate complex issues across the platform to ensure maximum uptime and performance
  • * Write code, documentation, participate in code reviews, and mentor other engineers