Senior Manager for Apple Ray

Seattle, Washington, United States
Machine Learning and AI

Summary

Posted:
Role Number:200555132
We are looking for an experienced technical leader who can bring their passion for machine learning, infrastructure, big data, and distributed systems to build world class data and machine learning (ML) platform/products at scale and across different cloud environments. As a senior manger in the Apple Data group, you will work closely with many cross functional teams and lead the planning, execution and delivery of technical projects with the ultimate goal of improving the user experience throughout their data+ML workflow.

Description

Apple Ray leverages open-source Ray to offer a unified framework for processing of complex data+ML pipelines. It enables the next generation of intelligent experiences for Apple products and services by combining data and processing layers into one unified end-to-end workflow that eliminates the complexity of running multiple independent jobs while significantly improving the hardware resource efficiency and development speed. Tight integration of Apple Ray with Apple Data services makes it the go-to solution when dealing with complex and large-scale data and ML pipelines. The team enables future Apple intelligent products by making cutting edge ecosystem of data+ML technologies for large-scale and efficient systems for all data and ML engineers within Apple. This role requires strong technical expertise, strategic thinking, robust planning and effective execution, relationship management, and seamless coordination across multi-functional areas. Our platform is built using a variety of systems and services, from bare metal to managed infrastructure services, and everything in between. We use existing and open-source systems when possible, but do not shy away from building in-house solutions when needed.

Minimum Qualifications

  • Ability to develop and implement forward-thinking vision and strategic initiatives
  • Proven experience in delivering data and ML infrastructure in production environments
  • Proven experience leading and growing successful infrastructure teams
  • A passion for building and maintaining systems that scale with high availability and ease of use
  • Experience managing expectations and relationships with multiple stakeholders and project teams across various functional areas
  • Demonstrated ability to partner with recruiting to grow technical teams
  • Excellent communication and leadership skills
  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent experience

Key Qualifications

Preferred Qualifications

  • Manage, mentor, and grow a large team of software engineers, tech leads, and managers
  • Foster a healthy and collaborative culture, and a high output group
  • Drive technical and cross-functional projects and provide leadership in an innovative and fast-paced environment
  • Measure and improve the efficiency and reliability of data+ML infrastructure systems
  • Set vision for the long term in alignment with business priorities and guide short-term planning towards that
  • Comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

Education & Experience

Additional Requirements

Pay & Benefits

  • 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. Learn more about your EEO rights as an applicant.