Sr. Machine Learning Research Engineer, Siri Speech

Apple Apple · Big Tech · Cupertino, CA · Machine Learning and AI

Machine Learning Research Engineer for Siri Speech team, focusing on creating and productizing ML algorithms for Speech Recognition, Speech Synthesis, and Conversational AI on Apple devices and cloud infrastructure. Requires expertise in compiled languages, ML frameworks, and applied ML, with the ability to translate research into user-facing products.

What you'd actually do

  1. create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware
  2. productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud
  3. create cutting edge products that pushes the envelope on Machine Learning for Speech Recognition, Speech Synthesis and Conversational aspects for various products
  4. productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices

Skills

Required

  • Expertise in compiled languages such as Swift, C++, or Objective-C
  • Familiarity with model training with PyTorch, JAX or other frameworks
  • Applied Machine Learning practitioner
  • Ability to synthesize and productize research ideas to millions of users

Nice to have

  • M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience

What the JD emphasized

  • productize
  • productize
  • optimize the algorithms
  • Applied Machine Learning practitioner
  • productize research ideas

Other signals

  • productize modern deep learning techniques
  • optimize the algorithms to each of Apple’s Platforms and Devices
  • Applied Machine Learning practitioner
  • Ability to synthesize and productize research ideas to millions of users