Audio Research Scientist

1 Month ago • 2 Years + • Research & Development • $166,000 PA - $244,000 PA

Job Summary

Job Description

As an Audio Research Scientist at Google, you'll develop algorithms, machine learning models, and software for sound quality, noise cancellation, spatial audio, and intelligent features. You'll lead a research agenda, conduct large-scale tests, and deploy promising ideas quickly. Responsibilities include creating experiments, prototyping implementations, designing new architectures, and contributing to the Pixel Bud team. You'll work on real-world problems spanning machine learning, data mining, and more. Active contribution to the research community through publications and collaborations is expected. The role involves applying the latest theories to develop new and improved products, processes, or technologies.
Must have:
  • PhD in CS or related field
  • 2+ years leading research
  • Audio algorithm expertise
  • DSP, beamforming, noise cancellation experience
  • Publication(s) in conferences/journals
Good to have:
  • Experience with Digital Signal Processing
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • 2 years of experience leading a research agenda.
  • Experience with audio algorithms, digital signal processing, beam forming, and noise cancellation technologies and tools.
  • One or more scientific publication submission(s) for conferences, journals, or public repositories.

Preferred qualifications:

  • Experience with Digital Signal Processing.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

In this role, you'll develop algorithms, machine learning models, and software to deliver sound quality, noise cancellation, spatial audio, and intelligent features directly to our users.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Develop algorithms.
  • Develop machine learning models.
  • Contribute to the foundations of the Pixel Bud team.

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