About the job
We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!
Responsibilities
You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You will see your ideas not only published in papers, but also improve the experience of millions of users.
As a researcher on our team, you’ll help us advance the state of the art in efficient machine learning for speech and multi-modal modeling, with a strong focus on running advanced models efficiently on server and devices, minimizing latency, preserving privacy and saving energy and bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
Qualifications
Minimum
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
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