AI/ML – Machine Learning Engineer, Siri


Job Overview

Key Qualifications

  • Strong understanding of machine learning (ML) fundamentals.
  • Experience in deploying ML/deep-learning solutions to real world problems.
  • Experience with deep learning toolkits like Keras/TensorFlow, PyTorch etc.
  • Proficiency in Objective-C/C++ and Python.
  • Strong analytical and data visualization skills
  • Excellent problem solving, critical thinking and communication skills.
  • Description

    As a Machine Learning Engineer in the Siri Understanding team you will work on improving Siri’s Automatic Speech Recognition (ASR) accuracy by training state-of-art language models (LMs) on massive text corpora. You will explore novel techniques and enhance existing algorithms for language modeling – focusing on privacy preserving ML approaches to train and adapt LMs on-device under the constraints of memory, compute and power. You will develop efficient on-device modeling pipelines for natural language processing. You will work on model optimization techniques (including but not limited to model compression, quantization etc.) to enable efficient on-device learning. You will collaborate with other research scientists and engineers in a fast-paced team environment.Open to considering candidates in Seattle or Boston.

    Education & Experience

    Master’s or PhD in Machine Learning, Computer Science or a related field.Academic or industry experience in ASR or NLP.

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