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Principal Research Scientist (Hybrid Shakopee, MN)
Principal Research Scientist (Hybrid Shakopee, MN)GN Group • Shakopee, Minnesota, USA
Principal Research Scientist (Hybrid Shakopee, MN)

Principal Research Scientist (Hybrid Shakopee, MN)

GN Group • Shakopee, Minnesota, USA
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  • [job_card.full_time]
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Principal Research Scientist

Shakopee MN GN North American Headquarters (Hybrid)

In the role of Principal Research Scientist on our GN research team you will contribute to our purpose of Bringing People Closer.

You will be one of the technical anchors for our signal processing roadmap designing implementing and validating stateoftheart audio and hearingaid algorithms that significantly improve speech intelligibility listening comfort robustness and sound quality in challenging realworld environments.

You will help set the technical direction for core hearingaid features and turn complex ideas into reliable solutions used daily by people with hearing loss worldwide.

The team you will be part of :

You will join a highimpact research team within GN working closely with signal processing machine learning acoustics audiology data science and spatial sound in Shakopee and across our global organization.

Our culture is ambitious open and customerobsessed. We :

  • Use scientific rigor and data to challenge assumptions.
  • Collaborate across disciplines to solve hard technical problems.
  • Take pride in shipping robust wellengineered features not just prototypes.
  • Aspire to continuously raise the bar on our technology and ourselves and we expect you to play an active role in shaping both.

Your contribution is appreciated and you will :

  • Own the design and optimization of advanced digital signal processing algorithms for hearing instruments including (but not limited to) multiband amplification adaptive feedback cancellation single and multimic noise reduction beamforming and speech enhancement.
  • Lead the endtoend algorithm lifecycle : from concept and simulation in Matlab / Python to fixedpoint implementation in C / C / assembly on embedded hearingaid platforms to verification in lab and field.
  • Act as a key binding link between research development electroacoustic engineering audiology and product management translating user and business needs into clear algorithm requirements and concrete technical designs.
  • Drive and support the development of machinelearningbased features for noise reduction and speech enhancement including dataset strategy feature design evaluation metrics and integration of models into embedded platforms.
  • Design and analyze perceptual listening tests to evaluate intelligibility sound quality and user preference in realistic acoustic environments and use the results to iterate algorithm design.
  • Document architectures design rationales and test results with a level of clarity that enables reuse maintenance and regulatory documentation.
  • Act as a senior technical mentor reviewing designs and code sharing best practices in DSP and helping grow the competence level of the broader engineering organization.
  • To perform well in the role we imagine that you :

  • Have a PhD in Applied Physics Electrical Engineering Acoustics Signal Processing or a related field with a strong focus on audio speech or hearing technologies.
  • Have deep handson expertise in digital signal processing for audio and speech including core algorithms such as :
  • Adaptive feedback / echo cancellation

  • Multiband dynamic range compression
  • Single and multichannel noise reduction
  • Beamforming and microphone array processing
  • Speech enhancement in nonstationary noise
  • Are very comfortable moving between theory and implementation : deriving analyzing and simulating algorithms and then implementing profiling and debugging them on constrained embedded platforms.
  • Have strong programming skills in Matlab and C and solid experience with at least one of C Python R or embedded assembly on DSP platforms.
  • Understand hearingaidrelevant electroacoustics in practice and can design execute and interpret electroacoustic measurements including test setups calibration and regression test design.
  • Bring experience with or strong interest in applying machine learning to audio and speech (e.g. DNNbased noise reduction or speech enhancement) and can work effectively with development to make solutions deployable on lowpower devices.
  • Communicate clearly and concisely in spoken and written English and can adjust your message for different audiences from deepdive technical discussions to clear explanations for nonexperts.
  • Are driven by solving realworld problems for people with hearing loss and have a natural curiosity to learn experiment and continuously improve both your own skills and the solutions you work on.
  • Have solid understanding and handson experience with modern software engineering frameworks and ways of working (e.g. version control code review CI / CD testing practices and agile methods) and know how to apply them in algorithm and embedded DSP development.
  • It is beneficial to have experience with :

  • Commercial hearing aids or other regulated medical audio devices including fitting software and electroacoustic verification frameworks.
  • Industrystandard hearingaid platforms and toolchains from concept through to product launch.
  • Perceptual testing methodologies user studies or close collaboration with audiologists and hearing care professionals.
  • Patents scientific publications standards work (e.g. IEC) or representation in crossindustry working groups.
  • Pay Transparency Notice :

  • The target annual base salary for this position can range from $145000.00 - $185000.00 in addition to a discretionary bonus if you are an active employee as of the fiscal year-end.
  • Compensation for roles at GN depends on a wide array of factors including but not limited to location role skill set and level of experience
  • To remain competitive GN offers a competitive benefits package including annual bonuses health insurance a 401(k) plan and paid vacation and holidays
  • We encourage you to apply :

    We highly value a mindset motivation and energy that aligns with our core values to not only ensure growth for you but for your team and the wider GN organization as well.

    We are committed to an inclusive recruitment process :

    GN welcomes applicants from all backgrounds and applicants will receive equal consideration for employment. We make life sound better by developing intelligent sound solutions that transform lives through the power of sound enabling you to hear more do more & be more than you ever thought possible.

    Disability Accommodation :

    If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application please e-mail or call . This email and phone number is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes such as following up on an application or technical issues not related to a disability will not receive a response.

    Join us in bringing people closer :

    GN brings people closer through our advanced intelligent hearing audio video and gaming solutions. Inspired by people and motivated by innovation we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss to overcome reallife problems improve communication and collaboration for businesses and provide great experiences for audio and gaming enthusiasts.

    We hope you will join us on this journey and look forward to receiving your application.

    #LI-GNGroup

    Required Experience :

    Staff IC

    Key Skills

    Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 145000 - 185000

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    Principal Research Scientist • Shakopee, Minnesota, USA

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