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Audio Signal Processing Machine Learning Jobs in Cambridge, MA

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 ...

Machine Learning Engineer - Edge

Lowell, MA · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Fundamentals of audio and speech signal processing. Pay Transparency Notice * Depending on your ...

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 ...

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 ...

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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 Jun 30, 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 the Audio Signal Processing Machine Learning position, and why are they important?

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 job?

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 are some typical projects or responsibilities for professionals in Audio Signal Processing Machine Learning roles?

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:
Lead Algorithm & Signal Processing Engineer with Security Clearance

Lead Algorithm & Signal Processing Engineer with Security Clearance

STR

Woburn, MA • On-site

$157K - $220K/yr

Other

Posted 21 days ago


Job description

About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: * 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 advanced RF systems * Lead small teams and projects * Support business development and proposal writing efforts * Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems Who You Are: * This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government * BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline * 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years) * Experience in two or more of the following areas: * RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping * Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++ * Strong mathematical, troubleshooting, written, and verbal communication skills Even Better: * Active Security Clearance * Experience with: * RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms * Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow * Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution * Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems * Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations Pay Information
Full-Time Salary Range: $157,000 - $220,000 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. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws. Create a Job Alert Interested in building your career at STR? Get future opportunities sent straight to your email. Create alert