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Apple

Sr. Machine Learning Research Engineer, Siri Speech

Apple Cambridge, England, United Kingdom

Computers and Electronics Manufacturing · 10,001+ employees

9 h ago
machine-learning Senior (5-10 yrs) Full-time United Kingdom
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About the role

You will work with a team of engineers and scientists to develop efficient machine learning solutions for dialog systems and foundation models. Your role involves integrating speech, text, and other modalities to enhance Siri's capabilities across Apple platforms.

What they look for

Machine Learning Deep Learning Python JAX PyTorch Tensorflow Natural Language Understanding Context Tracking Model Compression Algorithm Optimization Parallel Computing Software Design On-device Intelligence Dialog Systems Foundation Models

Requirements

Candidates must have a PhD in a technical field or equivalent industry experience with a strong publication record in deep learning. Proficiency in Python and deep learning frameworks like JAX, PyTorch, or Tensorflow is required.

Full description

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.

Minimum Qualifications

Demonstrated expertise in efficient deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience

Preferred Qualifications

Strong expertise in efficient machine learning, model compression and algorithm optimization techniques A track record in software design, coding and parallel computing Experience with large scale machine learning training/evaluation On-device intelligence and learning with strong privacy protections Ability to work in a collaborative environment

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