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Sr. Machine Learning Research Engineer, Siri Speech at Apple
Cupertino, California, United States -
Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Algorithm Development, Speech Recognition, Speech Synthesis, Deep Learning, Swift, C++, Objective-C, PyTorch, JAX, Productization, Optimization, Personalization

Industry

Computers and Electronics Manufacturing

Description
The Siri Speech team is looking for an exceptional Machine Learning Research Engineer to create ML algorithms for Siri, Dictation, and third-party APIs running efficiently on Apple Hardware. You will help productize modern deep learning techniques running on custom Apple hardware and Private Compute Cloud, and create cutting edge products that pushes the envelope on Machine Learning for Speech Recognition, Speech Synthesis and Conversational aspects for various products. DESCRIPTION We are looking for a talented ML Research Engineer who is excited by the prospect of working on Siri, Dictation used by millions of users. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will primarily be responsible for productizing technologies that help with Accuracy, Personalization and to optimize the algorithms to each of Apple’s Platforms and Devices. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. MINIMUM QUALIFICATIONS 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 PREFERRED QUALIFICATIONS M.S, PhD in Computer Science or related field, or B.S. with equivalent industry experience
Responsibilities
The role involves creating Machine Learning algorithms for Siri, Dictation, and third-party APIs, focusing on efficient execution on Apple Hardware. Responsibilities include productizing modern deep learning techniques for Speech Recognition, Synthesis, and Conversational aspects.