AI/ML – Machine Learning Research Engineer, Siri Understanding 162 views

Summary

“Hey Siri, let’s work together at Apple!“ The Siri Understanding 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 speech invocation and 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.’

Key Qualifications

Strong background in machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus

Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation

Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally

Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses

Outstanding problem solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively with engineers, scientists, managers, and cross-functional partners

Description

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 Understanding, they own their products and user experiences end-to-end. They measure the impact of their deployed models not just on offline test sets, but also on production traffic. They optimize error rates on existing data. They also define new metrics and apply them to the data that best represents the next feature they ship. And they 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 Apple cannot wait to hear from you.

Education & Experience

Ph. D. in a Machine Learning or related field, or M.S. with 3+ experience in Machine Learning