AI/ML - Senior ML Infrastructure Engineer, ML Platform & Technology

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200358424
Data Platform team within AI/ML MLPT organization powers analytics, experimentation and ML feature engineering to power ML initiatives at Apple, e.g., Siri, Search, Maps. The mission of the Data Platform 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 ML 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 Infrastructure, Cloud Storage and Compute
  • - Experience with hybrid cloud technologies
  • - Experience configuring, deploying and troubleshooting large scale production environments
  • - Familiarity with major cloud providers such as AWS, Azure and GCP
  • - Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • - Extensive programming experience in Java, Python or Go

Description

You will be responsible for the data virtualization platform used across various on-prem and cloud compute platforms. To serve 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 Virtualization Team, your responsibilities include: - Manage one of Apple’s largest infrastructure platforms supporting the AI/ML efforts for Apple’s hundreds of millions of customers worldwide - Diagnose, fix, improve and automate complex issues across the entire stack to ensure maximum uptime and performance - Take part in architecting our next generation data virtualization platform - Design and extend services to improve functionality and reliability of the platform - Establish SLA’s for all core components, services and applications running in production - Build relationships with stakeholders across the organization to better understand the needs of internal customers, to make our product better for our end users - Manage a piece of the platform which powers Analytics, Engineering and Privacy Efforts within AI/ML

Education & Experience

BS, MS, or PhD degree in Computer Science or equivalent and 3+ years experience in data technologies

Additional Requirements