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Audio Signal Processing Machine Learning Jobs in Cambridge, MA

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Audio Signal Processing Machine Learning information

See Cambridge, MA salary details

$32.2K

$92.3K

$187.4K

How much do audio signal processing machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for audio signal processing machine learning in Cambridge, MA is $92,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in audio signal processing machine learning?

To thrive in Audio Signal Processing Machine Learning, you need a strong background in digital signal processing, machine learning, mathematics, and programming (typically Python, MATLAB, or C++), often supported by a relevant degree in electrical engineering, computer science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), audio processing libraries (like Librosa), and experience using version control systems are highly valuable. Creative problem-solving, strong analytical thinking, and effective collaboration skills will set you apart in this technical and interdisciplinary field. These skills are essential for developing innovative audio processing solutions that meet practical needs in industries like telecommunications, music, and voice recognition.

What is an audio signal processing machine learning?

An Audio Signal Processing Machine Learning job involves applying machine learning techniques to analyze, process, and enhance audio signals. This includes tasks like speech recognition, music classification, noise reduction, and sound synthesis. Professionals in this role work with digital signal processing (DSP), deep learning models, and frameworks like TensorFlow or PyTorch to develop audio-based AI applications. They often collaborate with researchers, engineers, and data scientists to improve audio-related technologies in industries such as telecommunications, media, and healthcare.

What does an audio signal processing machine learning do?

Professionals in Audio Signal Processing Machine Learning roles often work on projects such as developing speech recognition systems, designing audio enhancement algorithms, or building music information retrieval solutions. Daily responsibilities may include data preprocessing, feature extraction, model design and training, and evaluating algorithm performance using large audio datasets. Collaboration with software engineers, product managers, or hardware teams is common, as solutions typically need to be integrated into larger products or platforms. These roles also require keeping up with the latest research and continuously tuning models for improved accuracy and efficiency. This variety ensures a dynamic work environment where innovation and technical growth are encouraged.

What are popular job titles related to Audio Signal Processing Machine Learning jobs in Cambridge, MA? For Audio Signal Processing Machine Learning jobs in Cambridge, MA, the most frequently searched job titles are:
Audio Signal Processing Machine Learning jobs near you
Infographic showing various Audio Signal Processing Machine Learning job openings in Cambridge, MA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 24% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $92,308 per year, or $44.4 per hour.

Advanced Signal Processing and Estimation

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

The Advanced Undersea Systems and Technology Group develops innovative technology for U.S. undersea and counter-undersea systems. Our focus areas include acoustic and non-acoustic sensing, advanced signal processing, artificial intelligence and machine learning, autonomous systems, and systems analysis. Our technology is hosted on manned and unmanned undersea, surface, and air vehicles as well as fixed sensors. Our technical staff members hold advanced degrees in electrical engineering, physics, applied mathematics, ocean engineering, and computer science. The group engages in all phases of technology development from performance assessment to prototyping and testing for a variety of Department of Defense users, sponsors, and industry. In addition, our group provides our collaboration partners with undersea domain and technology expertise to inform and motivate concept development in areas such as energy systems, communications, and sensing. As part of MIT, our group collaborates closely with academic partners and publishes research in top-tier venues.

Job Description

If you are passionate about developing cutting-edge algorithms for challenging maritime applications, then consider joining the Advanced Undersea Systems and Technology group at Lincoln Laboratory!

Our diverse team of engineers and scientists develop and demonstrate advanced signal, image, and array processing algorithms for existing and prototype acoustic, RF, and optical sensors. As part of our team, you will have an opportunity to work on a variety of exciting tasks, including:

  • Engaging in the full application-development cycle, ranging from initial white-board brainstorming and concept development to the transitioning of mature capabilities
  • Participating in at-sea sensor test and validation activities
  • Developing theoretical models of physical phenomena, creating laboratory-grade simulations, and refining accuracy with real-world experimental results

We are looking for creative people with a desire for continuous learning to work in an inclusive environment consisting of small teams of hardworking engineers with a common goal of solving difficult problems critical for scientific and national defense applications.

Requirements:
  • PhD in electrical engineering, applied mathematics, mechanical engineering, physics, computer science or related technical field. In lieu of a PhD, applicants with an MS and 3 to 5 years of experience will also be considered.
  • Ability to clearly communicate with diverse audiences
  • Proficiency in a scientific programming language (e.g. MATLAB or Python)
Preferred Skills:
  • Experience in digital signal processing, estimation, and tracking algorithm development
    • Plus: experience with array signal processing
    • Plus: experience with adaptive signal processing
  • Experience analyzing or processing multi-element arrays, especially acoustic or RF sensing data
    • Plus: experience processing data sets in high performance computing environments
  • Experience with design trades relevant to multi-channel RF systems
  • Field test experience

Recent Graduate Hiring Range: $145,200-$170,000

Experienced Hiring Range: $145,200-$220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42904 

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