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Audio Signal Processing Machine Learning Jobs in Cambridge, MA

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

... captioning, audio description, dubbing, subtitling, and translation. This team makes major ... machine learning, natural language processing, generative AI, signal processing, applied ...

They invent things that haven't been built before, across wireless communications, sensing, audio ... What you'll do Design advanced signal processing systems from first principles, then take them all ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges * Collaborate with diverse teams, bringing ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/yr

Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges * Collaborate with diverse teams, bringing ...

Principal Signal Processing Engineer

Woburn, MA ยท On-site

$206K - $284K/yr

Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges * Collaborate with diverse teams, bringing ...

Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges * Design and implement models and simulations for ...

Showing results 21-40

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:
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.

Senior Algorithm & Signal Processing Researcher

STR

Woburn, MA โ€ข On-site, Remote

$139K - $170K/yr

Other

Re-posted 16 hours ago


Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation.

The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs.

About the Role:

As a Senior Algorithm and Signal Processing Engineer, you will develop, implement, test, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare, radar, and remote sensing applications. You will work as part of multidisciplinary teams to research next-generation sensing concepts and transition advanced algorithms into integrated systems for laboratory and field demonstrations.

A successful candidate will have expertise in one or more of the following areas: signal processing, adaptive radar signal processing, optimization, machine learning, electronic warfare, algorithm development, radar systems, communications systems, RF remote sensing, resource management, modeling and simulation, or related technical fields. This position requires strong analytical skills, scientific programming experience, and the ability to collaborate with researchers, engineers, and customers to solve challenging technical problems.

What You Will Do

  • Develop advanced sensing concepts, signal processing algorithms, and machine learning techniques for radar, electronic warfare, and remote sensing applications
  • Research, design, implement, and evaluate novel algorithms from concept through demonstration
  • Collaborate with multidisciplinary teams to architect, develop, integrate, and test advanced RF signal processing systems
  • Support modeling and simulation activities to evaluate algorithm performance and inform system design
  • Plan and execute laboratory and field testing to assess algorithm performance and transition research into operational prototypes.
  • Contribute to technical proposals, customer interactions, presentations, and technical briefings
  • Survey emerging research and incorporate state-of-the-art techniques into practical algorithm solutions.

Who You Are

  • Ability to obtain and maintain a Top Secret security clearance, for which U.S. citizenship is required by the U.S. government
  • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, Computer Engineering, Computer Science, or a related technical discipline with 2-5+ years relevant experience
  • Strong programming skills in MATLAB, Python, C/C++, or similar scientific computing languages
  • Strong mathematical, analytical, troubleshooting, written, and verbal communication skills
  • Experience developing, implementing, testing, or analyzing signal processing, optimization, or machine learning algorithms
  • Ability to communicate complex technical concepts to both technical and non-technical audiences
  • Ability to translate research objectives and customer needs into practical technical solutions

Even Better

  • Active Top Secret security clearance
  • Experience with radar systems, RF remote sensing, electronic warfare, or communications systems
  • Experience with adaptive signal processing, waveform design, multidimensional signal processing, resource management, or system optimization
  • Experience developing algorithms for real-time or embedded systems
  • Experience with modeling and simulation, algorithm integration, and system test and evaluation
  • Experience with software development and scientific computing workflows
  • Ability to survey technical literature, identify emerging approaches, and transition research into integrated, tested solutions

Pay Information
Full-Time Salary Range: $139,000 - $170,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.