Staff ML Infrastructure Engineer, Machine Learn...
@ Apple

Santa Clara, California, United States
$250,000
On Site
Full Time
Posted 26 days ago

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Job Details

Overview

Apple is where individual imaginations gather, commit to shared values, and deliver innovative products and experiences. Join a diverse team that believes in creating something wonderful and changing lives for the better.

Responsibilities

  • Lead the development of infrastructure to run large-scale workloads on the Cloud using tools such as Apache Spark, Ray, and distributed training.
  • Optimize platform efficiency and throughput with resource management schedulers like Apache YuniKorn and Kueue.
  • Integrate new features from core distributed computing and ML frameworks into the platform and support production users.
  • Enhance scalability, performance, and observability through improved monitoring and logging.
  • Drive the architectural evolution of the platform with modern, cloud-native technologies.
  • Reduce dev-ops efforts through automation and streamlined operational processes.
  • Mentor engineers, fostering skill growth and knowledge sharing.

Minimum Qualifications

  • Bachelor's degree in Computer Science, engineering, or a related field.
  • 4+ years building and managing large-scale data and ML infrastructure.
  • Proficiency in programming languages such as Python or Go.
  • Strong expertise in distributed systems, containerization, reliability, and scalability.
  • Experience with cloud computing infrastructure and tools including Kubernetes, Apache Spark, and Ray.
  • Excellent communication skills for articulating technical and architectural challenges.

Preferred Qualifications

  • Advanced degree in Computer Science, engineering, or a related field.
  • Experience with cloud-native resource management and scheduling tools like Apache YuniKorn.
  • Expertise in advanced architecture for distributed data processing and ML workloads.
  • Experience in debugging accelerators such as GPU, TPU, and AWS Trainium.

Key skills/competency

  • ML Infrastructure
  • Cloud-native
  • Distributed Systems
  • Resource Management
  • Automation
  • Apache Spark
  • Kubernetes
  • Monitoring
  • Scalability
  • Mentorship
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How to Get Hired at Apple

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML and cloud experience.
  • Study Apple culture: Understand their mission and values.
  • Prepare technical challenges: Practice cloud-native and distributed systems problems.
  • Research role requirements: Align your skills with ML infrastructure demands.

📝 Interview Preparation Advice

Technical Preparation

Review cloud-native architecture concepts.
Practice distributed systems problem-solving.
Experiment with Apache Spark and Ray.
Brush up on Kubernetes and containerization.

Behavioral Questions

Describe teamwork in challenging projects.
Explain your leadership in technical mentorship.
Discuss conflict resolution in cross-functional teams.
Share examples of handling project setbacks.

Frequently Asked Questions