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Signal Processing Machine Learning Jobs in Massachusetts

STR

Principal Signal Processing Engineer

Woburn, MA · 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 ...

STR

Principal Signal Processing Engineer

Woburn, MA

$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 ...

STR

Principal Signal Processing Engineer

Woburn, MA · 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 ...

STR

Lead Algorithm & Signal Processing Engineer

Woburn, MA · On-site

$157K - $220K/yr

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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All JobsSignal Processing Machine Learning JobsSignal Processing Machine Learning Jobs in Massachusetts

Signal Processing Machine Learning information

See Massachusetts salary details

$58.4K

$143.4K

$211.3K

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

As of Jul 12, 2026, the average yearly pay for signal processing machine learning in Massachusetts is $143,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $161,100.00 per year, depending on experience, location, and employer.

What are some typical projects or responsibilities for a Signal Processing Machine Learning professional?

As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.

What is a Signal Processing Machine Learning job?

A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.

What are the key skills and qualifications needed to thrive in the Signal Processing Machine Learning position, and why are they important?

To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.

What are popular job titles related to Signal Processing Machine Learning jobs in Massachusetts? For Signal Processing Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Signal Processing Machine Learning jobs in Massachusetts look for? The top searched job categories for Signal Processing Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Signal Processing Machine Learning jobs? Cities in Massachusetts with the most Signal Processing Machine Learning job openings:
Signal Processing Machine Learning jobs near you
Infographic showing various Signal Processing Machine Learning job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $143,449 per year, or $69 per hour.
Sensors Fall/Spring Co-op - RF Systems Engineer

Sensors Fall/Spring Co-op - RF Systems Engineer

STR

Woburn, MA

$52K - $79K/yr

Other

Posted 4 days ago

Job description

Sensors Fall/Spring Co-op

Are you motivated by opportunities to learn and grow? Do you want to collaborate with researchers, scientists and engineers in your field of study and apply your knowledge to projects that solve real problems? If so, then a co-op at STR is the opportunity for you! At STR, we recognize the importance of our employees to the company's success. Our program is the ideal way for us to get to know you, and for you to try out STR as a workplace. Join us and we will help you do meaningful and challenging work in your specialty. You'll be paired with a mentor and collaborate with our staff on real solutions to hard problems related to national security.

The Sensors Division focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging and EO/IR sensing. Within this role, we perform work on full system prototypes, experiment campaigns and technology component development. Particular development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation.

What you will do:

  • Perform technical work within project teams, with mentorship from experienced staff
  • Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development
  • Participate in all project phases:
    • Problem design
    • Solution discovery
    • Development of prototype algorithms and systems in software and or hardware
    • Experimentation and data analysis
    • System implementation/integration for test and fielded systems

Who you are:

  • Enrollment in a BS, MS or Ph.D degree program in a technical discipline such as electrical engineering, computer science, physics, mathematics, or related fields
  • Strong academic record and interest in research
  • Background/experience in one of the following areas: signal processing, image/video processing, machine learning, computer vision, computational hardware, RF hardware, software development, "big data" processing, scientific computing skills (MATLAB, python)
  • Ability to obtain a security clearance, for which U.S citizenship is needed by the U.S government

Perks:

  • Competitive pay
  • Flexible Working Hours
  • Fun activities both inside and outside the office

Pay Information
Full-Time Salary Range: $52,000-$79,000

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.

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