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Staff Researcher - Audio DSP and AI

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Date: Mar 31, 2021

Location: Sydney, AU

Company: Dolby Laboratories, Inc.

The world is changing, with audio devices being connected to the internet and delivering a continuous blend of entertainment, communications and information services. Already, many households have multiple voice-interface capable devices. We expect this trend to grow and that these devices will be able to cooperate to deliver new use cases and enhanced experiences. Delivering such solutions requires a blend of creative and diverse thinking and the ability to venture from the conventional. At Dolby, we think differently about technology innovation, and the successful applicant will be joining a well-resourced team at the peak of creativity, creating core technology and IP to power the next “connected-life” experiences.

 

For this position we are welcoming Researchers who will join Dolby’s Orchestrated Play and Listen research team where connected audio devices work together seamlessly to deliver a broad range of immersive audio experiences using the smart devices in their home. You will innovate through experimentation and by building and developing novel algorithms and improving existing technologies in speech and audio AI analytics and signal processing tasks such as automatic speech recognition, acoustic echo management and context aware sound classification.

 

About you:

  • A research mindset that finds the right hypothesis and rejects/approves that through a set of experiments which thoroughly capture various aspects of that hypothesis.
  • “I’m willing to learn and make it work” attitude and work effectively with other team members to accomplish a task in a timely manner.
  • The passion to constantly gain new skills and knowledge in a fast-paced environment with changing priorities.

 

           Technical skills: 

           Required:

  • Research track record (e.g. Industrial training, taste of research, undergraduate thesis, PhD dissertation, Postdoctoral proposal). We want to see a track record of raising and testing hypotheses that really move a field of technology forward.
  • A tertiary qualification (or equivalent) in Electrical Engineering, Computer Science or a related field with relevant industrial or academic experience as described below, specifically:
    • Bachelor’s Degree (or equivalent) and at least six years’ research work experience or
    • Master’s Degree (or equivalent) and at least four years’ research work experience or
    • PhD (or equivalent)
  • Ability to reduce ideas to practice using a programming language such as C, Python, Julia or Matlab.
  • Strong Mathematical background to understand the underlying theory of a research hypothesis and apply that into practice.
  • Strong communication and collaboration skills.

 

Preferred:

  • Deep understanding and work experience in one or more of
    • Speech analytics applications such as automatic speech recognition, talker identification, wakeword detection and emotion detection.
    • Audio DSP: Transforms, digital filtering, adaptive filtering
    • Communication acoustics including but not limited to room acoustics, electroacoustic: the world of microphones and speakers, and speech acoustics: the speech production mechanism.
    • Statistical modelling techniques such as Gaussian Mixture Models (GMMs), and Hidden Markov Models (HMMs).
    • Deep learning algorithms and technologies and ML frameworks such as PyTorch.
  • Ability to use the ear as a measurement tool.
  • Postgraduate research degree (eg Master or PhD).

 

 

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

 

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