AI/ML – Engineering Manager, Machine Learning Platform

Full Job Description

We are looking for an exceptional Engineering Manager with experience leading teams responsible for building and operating large-scale distributed services. And, wants to use that experience to lead a team responsible for designing, building and running a scale platform designed for machine learning and is critical to the success of ML engineers throughput RAD-G. In this role, you will define objectives for key products in the Machine Learning Platform, own the technical roadmap for a product, be accountable for delivering on results and making our ML customer throughout Apple successful. You will do this by growing and developing a diverse engineering team, coaching engineers to grow and become technical leaders.

Desired Skills:

  • Delivered services with measurable impact on internal or external customers
  • Influenced product and technical direction by being a customer advocate
  • 10+ years experience building production services in a distributed computing environment
  • Deployed mission-critical services with high reliability and available
  • Driven projects from inception to production
  • An understanding of distributed system concepts (such as transactions and consensus) in practice
  • Ability to present and communicate complex technical concepts clearly
  • Experience with partnering with other technical stakeholders
  • Demonstrated technical leadership through influence and mentoring
  • In-depth experience building solutions using public clouds (Azure, AWS, GCP)
  • Experience leading teams through building and operating large-scale services
  • Comfortable working in earlier stages of product development with ambiguous requirements
  • Have experience and in-depth knowledge of open source distributed systems such as Hadoop, Spark, Zookeepr, etcd, Cassandra, Kubernetes
  • Have 2+ more years of experience leading teams

Soft Skills:

  • Have a passion to create and try new ideas.
  • Accept some travel and long hours on occasion.
  • Willing to work on new and diverse technologies as opposed to developing perfection in one area.

The Details

  • Permanent position, 40 hours/week
  • Remote applicants are welcome

Apply Here

You may also email your resume and cover letter to

RAD-G is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.