Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Acoustics AIML Researcher image - Rise Careers
Job details

Acoustics AIML Researcher

Team Description:

Kitware’s acoustics research is currently organized under our computer vision and AI team.  Acoustic researchers collaborate with computer vision, AI and ML researchers to apply the latest machine learning models to acoustic processing in terrestrial and underwater domains.


Our computer vision and AI team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME for the marine domain and Telesculptor.


About the Projects: 

Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work.


We partner with premier government R&D agencies such as DARPA, ONR, AFRL, NVESD, NOAA, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you’ve used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build.


In This Position You Will:
  • Develop robust solutions for detection, classification, anomaly detection, and soundscape analysis for both active and passive acoustic modalities in undersea and other domains
  • Collaborate with computer vision researchers to adapt computer vision and AI techniques to the acoustics domain
  • Contribute expertise in signal processing to projects outside the acoustics domain
  • Enjoy support and encouragement for participation in national and international conferences (such as UACE, OCEANS, OSM, IGARSS, CVPR, ICCV, and ECCV)
  • Be encouraged to seek funding to grow and develop your own research areas, if you desire


Required Qualifications:
  • PhD in Electrical Engineering / Acoustics or related field 
  • Experience in passive acoustic data processing and phenomenology
  • Experience in general signal processing and analysis
  • Experience with machine learning and neural networks
  • Strong publication record in top-tier research publications and conferences
  • Candidates should include a detailed list of publications as part of their resume/CV
  • Highly innovative and demonstrated track record for solving complex technical challenges using acoustic-generated time series or imagery
  • Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
  • Due to contractual restrictions, only US Citizens will be considered for this position


Preferred Qualifications:
  • 5+ years experience or course work in signal analysis for passive and active undersea acoustic phenomenology (e.g., Fourier analysis, complex-valued waveforms, filter design, channel estimation, detection, matched filtering, signal propagation)
  • 5+ years experience or coursework in array signal processing techniques (e.g., beampatterns, beamforming, interference rejection, phase calibration, array design)
  • 5+ years experience with synthetic aperture imaging techniques and data
  • Experience with subsea field collections


$125,000 - $170,000 a year

Company Description:

Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  


Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™.  


Additional Information:

Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 


For more information on our benefit offerings please visit: https://www.kitware.com/careers/.


Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 


Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.


If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at hr@kitware.com at any time during the hiring process.  

Kitware Glassdoor Company Review
3.9 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
Kitware DE&I Review
3.7 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon Glassdoor star icon
CEO of Kitware
Kitware CEO photo
Lisa Avilla
Approve of CEO

Average salary estimate

$147500 / YEARLY (est.)
min
max
$125000K
$170000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Acoustics AIML Researcher, Kitware

Are you passionate about the intersection of acoustics and artificial intelligence? Kitware is on the lookout for an Acoustics AIML Researcher to join our computer vision and AI team in Clifton Park, New York. Our dynamic group is at the forefront of developing groundbreaking algorithms for real-world applications, particularly in the undersea and terrestrial acoustic domains. As an Acoustics AIML Researcher, you'll collaborate closely with experts in computer vision and machine learning, utilizing state-of-the-art methods to address complex acoustic challenges. You'll play a pivotal role in projects that tackle national security issues, making a tangible difference on a daily basis. At Kitware, we believe in not just advancing technology but also nurturing a culture of innovation and collaboration. We highly encourage participation in national and international conferences, providing you with opportunities to grow your professional network and publish your findings in esteemed venues. With a strong emphasis on open-source software platforms, your contributions will be part of a larger community dedicated to making a meaningful impact in various fields. If you hold a PhD in Electrical Engineering, Acoustics, or a related area and bring relevant experience in passive acoustic data processing, machine learning, and signal processing, we want to hear from you! The role not only offers competitive compensation ranging from $125,000 to $170,000 a year, but also a fantastic benefits package that supports work-life balance, including six weeks of paid time off and flexible work arrangements. Join us in advancing science at Kitware – where your expertise can truly shine!

Frequently Asked Questions (FAQs) for Acoustics AIML Researcher Role at Kitware
What are the responsibilities of an Acoustics AIML Researcher at Kitware?

As an Acoustics AIML Researcher at Kitware, you'll engage in developing robust solutions for detection and classification of aquatic sounds, working on analyzing active and passive acoustic modalities. Collaborating with computer vision experts, you'll adapt AI techniques tailored for the acoustics domain while tackling complex signal processing challenges across various projects.

Join Rise to see the full answer
What qualifications are needed for the Acoustics AIML Researcher position at Kitware?

Kitware requires candidates to hold a PhD in Electrical Engineering, Acoustics, or a related field, along with experience in passive acoustic data processing and signal analysis. A strong publication record in top-tier research publications is essential, as is familiarity with machine learning and neural networks.

Join Rise to see the full answer
What kind of projects will an Acoustics AIML Researcher work on at Kitware?

An Acoustics AIML Researcher at Kitware will work on projects focused on national security and real-world acoustic challenges. You'll contribute your technical expertise to projects that leverage machine learning to enhance acoustic detection and analysis, participating in live testing and collaboration with government agencies and commercial partners.

Join Rise to see the full answer
Is there support for professional development as an Acoustics AIML Researcher at Kitware?

Yes! Kitware supports the professional growth of its Acoustics AIML Researchers through funding opportunities for research, as well as encouragement to participate in national and international conferences, helping you to broaden your horizons and enhance your skills in the field.

Join Rise to see the full answer
What does the work environment look like for an Acoustics AIML Researcher at Kitware?

At Kitware, the work environment is collaborative and dynamic, focusing on employee ownership and flexible work arrangements. You’ll join a team that values independence and offers a friendly atmosphere conducive to innovation, making it a great place to grow your career.

Join Rise to see the full answer
Common Interview Questions for Acoustics AIML Researcher
Can you explain the significance of using machine learning in acoustic data processing?

Machine learning enhances acoustic data processing by enabling the detection of patterns and anomalies that might be overlooked through traditional methods, allowing for more accurate classification and interpretation of sound data.

Join Rise to see the full answer
What experience do you have with passive acoustic data processing?

Discuss specific projects where you've utilized passive acoustic data processing techniques, showcasing your understanding of the methodologies and tools used, and outlining the outcomes of your contributions.

Join Rise to see the full answer
How do you approach collaboration when working on interdisciplinary projects?

Collaboration in interdisciplinary projects requires clear communication and an open mindset. Sharing knowledge and respecting different perspectives can foster strong teamwork and lead to innovative solutions that combine diverse expertise.

Join Rise to see the full answer
What tools and software are you proficient in for signal processing?

Be prepared to mention specific tools like MATLAB, Python libraries (such as NumPy and SciPy), or software used for analyzing acoustic signals. Highlight your proficiency and any projects where these tools played a crucial role.

Join Rise to see the full answer
How would you handle challenges in a fast-paced research environment?

Handling challenges in a fast-paced environment entails prioritization, flexibility, and effective time management. I also believe in seeking input from colleagues when facing obstacles, as collaboration can lead to quicker solutions.

Join Rise to see the full answer
What recent advancements in AI do you find most exciting as they relate to acoustics?

Mention specific advancements, such as improved neural network architectures or novel algorithms, and discuss how these innovations could potentially enhance acoustic processing or sound classification.

Join Rise to see the full answer
In what ways do you ensure the research you conduct remains relevant and impactful?

Staying updated with the latest scientific literature, attending conferences, and engaging with industry experts allows me to orient my research toward impactful real-world applications while ensuring relevance.

Join Rise to see the full answer
How do you approach publication of research findings?

I believe in drafting a clear narrative that articulates the research question, methodology, and findings. I look for reputable journals that align with my work, ensuring I adhere to their guidelines for a successful submission.

Join Rise to see the full answer
What strategies do you use for effective signal analysis?

Techniques such as Fourier analysis, matched filtering, and advanced algorithms are essential. I make data-driven decisions based on the characteristics of the signal and the goals of the analysis to optimize results.

Join Rise to see the full answer
Can you discuss your experience with array signal processing techniques?

I have extensive experience with array signal processing, including beamforming and interference rejection. I can provide examples of projects where I've successfully implemented these techniques and their outcomes.

Join Rise to see the full answer

We are a small company that has a big impact on the world. We advance science and technology to empower global innovation and solve the world’s challenges. We do this by developing innovative open source software platforms and integrating them int...

13 jobs
MATCH
Calculating your matching score...
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
March 23, 2025

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!