Machine Learning Researcher – New Grad
Speech Recognition
Updated on 11/30/2023
Zoom

10,001+ employees

Secure, frictionless video communication and collaboration platform
Company Overview
Zoom is a leading company in the digital communication sector, offering a comprehensive platform that facilitates seamless video communications, team chats, webinars, and more, catering to a wide array of customers from various industries. The company's culture is rooted in its core value of 'Care', fostering a diverse and inclusive environment that encourages problem-solving, self-starting, and career growth. Zoom's commitment to technical innovation is evident in its continuous product development, such as the AI Companion, and its dedication to providing secure communication solutions.

Company Stage

IPO

Total Funding

$276M

Founded

2013

Headquarters

San Jose, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

4%

2 year growth

46%
Locations
Oakland, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Pytorch
Tensorflow
Natural Language Processing (NLP)
Python
CategoriesNew
AI & Machine Learning
Requirements
  • Currently pursuing a Master’s or PhD degree in Computer Science, Electrical Engineering or related fields; or a Master’s degree in Computer Science, Electrical Engineering or related fields with 3 years of experience in speech recognition, speech processing, and/or natural language processing.
  • Expectation is that the degree will be obtained by July 2024 or earlier.
Responsibilities
  • Developing and deploying state-of-the-art models for speech recognition
  • Collaborating with cross-functional units to improve production speech recognition models
  • Exploring novel technologies and publishing research findings in major conferences/journals
Desired Qualifications
  • A PhD degree in Computer Science, Electrical Engineering or related fields obtained by July 2024 or earlier
  • Specialization in speech recognition, natural language processing, or audio signal processing
  • Prior experience in developing large-scale speech recognition systems for real-world applications
  • Strong ability to identify challenges in speech recognition and propose solutions or improvements to existing methods
  • Strong programming skills in Python; familiarity with ML frameworks such as PyTorch and TensorFlow; and experience with speech recognition toolkits and libraries such as Kaldi/k2, ESPnet, or TorchAudio
  • Demonstrate strong collaboration and communication skills
  • Solid understanding and scientific curiosity to learn state-of-the-art speech technologies