Machine Learning Engineer, Siri Attention & Invocation

2 Months ago • All levels • Research Development • $175,800 PA - $264,200 PA

Job Summary

Job Description

Apple is seeking Machine Learning Engineers for the Siri Attention & Invocation team to enable personalized Siri interactions globally. Responsibilities include building end-to-end model training and evaluation pipelines, advancing research in speaker recognition, and deploying on-device models that align with Apple's core values of quality, innovation, and user privacy. The role involves collaborating with cross-functional teams of software and machine learning engineers to improve Siri's understanding, personalization, and interaction capabilities. The team owns user journeys end-to-end, measuring model impact on production traffic and optimizing error rates, while also defining new user experience-focused metrics and addressing on-device computation constraints.
Must have:
  • Build end-to-end model training/evaluation pipelines
  • Advance speaker recognition research
  • Deploy on-device ML models
  • Ensure user privacy
  • Collaborate with cross-functional teams
Good to have:
  • Academic rigor
  • Engineering efficacy
  • Stay up-to-date with research
  • Deliver reliable and robust models
  • Extend core Siri technology

Job Details

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

“Hey Siri, let’s work together at Apple!" The Siri Attention & Invocation team is looking for Machine Learning Engineers passionate about enabling personalized Siri interactions and delivering such technology to users on a global scale. Build end-to-end model training and evaluation pipelines. Push the envelope on the latest research developments in speaker recognition. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done — just by saying ‘(Hey) Siri.’
You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In Siri Attention & Invocation, we own our user journeys end-to-end. We measure the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. We optimize error rates on existing data. We also define new metrics that take into account the user experience we want to deliver and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation — that is where your ability to innovate will be most impactful.

You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, and interact in new and exciting ways, then we cannot wait to hear from you.

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