Audio Research Scientist

Google; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Job summary

Join Google as an Audio Research Scientist, where you'll leverage your background in audio algorithms and digital signal processing to create innovative solutions. Collaborate on large-scale projects that inspire new product innovations and maintain our leadership in technology. Contribute not only to internal advancements but also share your findings within the wider research community.

Qualifications

• PhD degree in Computer Science or a related field.
• 2 years experience leading a research agenda.
• Experience with audio-related technologies.

Responsibilities

• Develop algorithms and machine learning models.
• Contribute to pixel sound quality improvements.
• Manage large-scale testing and deployment.

Skills

Audio algorithms

Digital signal processing

Beam forming

Noise cancellation technologies

Education

PhD in Computer Science or related field

Tools

Digital Signal Processing

Job description

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• 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.
  
  

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 benefits at Google .

Responsibilities

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

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

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