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Sr. Machine Learning Engineer, Proactive Intelligence

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AppleSr. Machine Learning Engineer, Proactive IntelligenceUnited States, California
Details

Summary

Posted:
Weekly Hours: 40
Role Number:200277159
Proactive Intelligence is at the heart of an intelligent system experience that understands you and anticipates your needs. We are building an on-device personal and contextual intelligence platform that will benefit the millions of people who use Apple devices every day. We want your help to use state-of-the-art, privacy-preserving machine learning to solve problems like predicting what app you will launch next, understanding whether you are working or relaxing, and inferring durable facts about you that can be used for greater personalization throughout the system. As a part of this team, you will touch various parts of our codebase, from researching and experimenting with new ideas to implementing and optimizing models to run on resource-constrained devices. You will have the opportunity to teach and learn from others and grow in our close-knit, growing team.

Key Qualifications

  • 4+ years of proven experience building large-scale machine learning systems
  • Intuitive understanding of machine learning algorithms, deep learning architectures, supervised and unsupervised modeling techniques, and their performance characteristics
  • Experience working with large scale and real world datasets for classification, regression, ranking, or recommendation problems
  • Experience with machine learning libraries such as TensorFlow, Scikit-learn, PyTorch, or similar frameworks

Description

You’ll join a phenomenal team of hardworking ML engineers and researchers on the Contextual Understanding Team to derive high level contextual intelligence from low level evidence across devices, via inference and induction. The team vision is to understand the world around you as well as yourself to power surprising and delightful experiences for billions of people. We’re looking for a Senior Machine Learning Engineer who can solve novel problems in areas including inference, prediction, event mining, and sensor fusion to build a state-of-the-art, on-device, privacy preserving, and performant contextual intelligence system. You will bring your expertise and passion for solving challenging, real-world problems into our growing team that operates like a startup within Apple, and you’ll play a key role in defining our team’s machine learning approach.

Education & Experience

M.S. or PhD in Computer Science or related field, or equivalent practical experience

Additional Requirements

  • While not required, having the following would be a plus:
  • Experience with privacy preserving machine learning techniques like private federated learning
  • Experience with weakly-supervised learning and self-supervised learned techniques
  • Experience in resource constrained computing (embedded systems or mobile development)
  • Experience in compiled languages C, C++, Java, Objective-C, or Swift
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