AI/ML - Pipeline Operations Manager, Siri Experience

Seattle, WA 98104
  • Job Code
    200242303
Summary

Summary

Posted: Apr 23, 2021

Role Number:200242303

Play a part in the next revolution in human-computer interaction. Create groundbreaking technology for artificial intelligence. Tr...Summary

Summary

Posted: Apr 23, 2021

Role Number:200242303

Play a part in the next revolution in human-computer interaction. Create groundbreaking technology for artificial intelligence. Transform the way people find their favorite movies and TV shows, watch sports, listen to music, interact with their smart home and much more. Work with the people who created the intelligent assistant that helps millions of people get things done - just by asking! Join the Siri team at Apple. The Engineering Efficiency team is looking for exceptional leaders who are excited about building a team to operate and automate the delivery of new experiences on Siri.

We are working to take the release of Siri server and machine learning models to the next level (think Siri). We don't have all of the answers on how to do that yet, perhaps you do? We are exploring, measuring and trying new things. We are responsible for running release management and deploying all of the server code and machine learning models for Siri that affect 1 billion+ customers. This isn't just a theoretical exercise. We won't be satisfied with anything less than outstanding. If you are excited about the challenges of making development and releases more efficient while every part of the system is advancing, come help us solve these problems and be part of improving engineering efficiency across the Siri and AIML organization!

In this role, you will lead a distributed team playing a part in ensuring the quality and delivery of groundbreaking technology for large scale systems, natural language, big data, and artificial intelligence to end users. You will be leading conversations with various multi-functional teams of engineering and project management. You will lead them to identify issues, root cause, fix and prevent build and infrastructure failures, ensure frictionless delivery of features and make lives of our AIML organization better.

Key Qualifications

  • 6+ years in roles as DevOps, SRE, SDET or TE/QE, at least 2 years leading an engineering team or operations team
  • Experience working with engineering and project management teams
  • Leadership skills such as making presentations to leadership, running war rooms, inspiring teams, and influencing the organization to improve quality and coding best practices
  • Excellent communication skills (verbal and written), time-management skills and attention to detail
  • Track record of empowering your team to deliver results independently as part of a geographically diverse team
  • Proven ability to bring a positive, courteous, and engaged attitude to all interactions by "owning" the customer experience. You are comfortable providing support to all, including executive leadership
  • Troubleshooting and debugging skills: Analyze and investigate test failures, errors, infrastructure and build issues
  • Have a deep understanding of release engineering, branching and software configuration management
  • Experience in troubleshooting large distributed applications or mobile client applications

Description

You will be tasked with streamlining build and deployment processes for many interdependent projects and machine learning models. You will be a part of a fast-paced environment with rapidly changing priorities, collaborating with server engineers and data scientists. You will help design CI systems to optimize the build, test, and deployment cycle times for various projects. This is not a team of strict software engineers but it requires a good engineering background. Your team will be split across Build/CI (50%), DevOps (40%) and Automation (10%).

Your strategic goals will be to build a team that automates operational tasks to that are required to run the CI pipeline for ML models and server code, to define new processes that fill process and technology gaps that you and your team identify. You will start by learning to use the tools to pre-validate build-time issues, get a deep knowledge of Apple internal tools and processes. In the next year, you will have built a solid foundation and team that defines the processes and ensures the successful operations of a CI solution that has improved Siri engineers' experience.

Education & Experience

Bachelor's degree in Computer Science, a related field or equivalent work experience is required.

Additional Requirements

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AI/ML - Pipeline Operations Manager, Siri Experience

Apple, Inc.
Seattle, WA 98104

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