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Signal Processing Machine Learning Jobs in Massachusetts

Neurable, INC

Machine Learning

Cambridge, MA · On-site

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... Signals Processing preferred - Must be authorized to work in the United States Additional ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ... Signals Processing preferred - Must be authorized to work in the United States Additional ...

Analogdevices

Biomedical Engineering Intern

Wilmington, MA

$18.25 - $23.75/hr

Coursework, research, or internship experience related to biomedical engineering, digital health, signal processing, machine learning, or healthcare technologies. * Familiarity with clinical data ...

Analog Devices

Biomedical Engineering Intern

Wilmington, MA · On-site

$18.25 - $23.75/hr

Coursework, research, or internship experience related to biomedical engineering, digital health, signal processing, machine learning, or healthcare technologies. * Familiarity with clinical data ...

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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 Sep 13, 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 is a signal processing machine learning?

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 does a signal processing machine learning do?

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

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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $143,449 per year, or $69 per hour.

Machine Learning

Cambridge, MA • On-site

Neurable, INC
Computer and Electronic Product Manufacturing • 1 - 10 employees
Learn more about Neurable, INCexternal

Full-time

Re-posted 5 days ago

Job description

Company Description
Neurable is a funded brain-computer interface (BCI) startup spun out of the University of Michigan's Direct to Brain Interface Laboratory (UM-DBI); our technology, an artificial intelligence developed by our CEO Ramses Alcaide, BCI expert and PhD neuroscience, enables people to control hardware and software in real-time with their brain via a non-invasive cap. We have enabled users to control remote control cars, computer programs, wheelchairs, and more. Currently we are directing Neurable for virtual and augmented reality applications.
Job Description
We are currently looking for a Machine Learning Scientist/Researcher to join our team.
We would like to advance our current methods of identifying brain activity, using novel machine learning algorithms to increase reliability and accuracy. You will be working alongside our team of developers, but mostly with our CEO, advancing our intellectual property. We are looking for someone who is able to, not only implement, but also, create machine learning algorithms, specifically ones that improve speed, accuracy, and the elimination of muscle artifacts. Experience working with real-time data, large datasets, brain-computer Interface, and/or EEG data is preferred.
Our ideal candidate is the type of person who constantly wants to push the boundary of what is (im)possible. We are working in a field and creating a technology with functionalities that have never existed before. At Neurable we embrace failure and respect persistence. If you like tinkering, are curious by nature, consider yourself a technologist or someone who thinks several steps ahead...we would like you to join us, or at least meet us, or come to our office and play some video games (we have all the latest VR/AR technology). We are a small group adding to the banality of "work hard, play hard" but only because it is true.
Company aside, we thoroughly enjoy:
- Fine food and beverages
- Movies and shows (during Game of Thrones season, our CEO Ramses, also a near chef, cooks everyone dinner while we watch on his 12' by 12' projector screen)
- Video games (we own every console from the ColecoVision, 1982, to the latest in virtual reality systems)
- Adventures (ask us about what happened one fateful night on Mt. Nacheesmo)
- Dogs (we have two in our office)
Qualifications
- Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
- Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
- Strong understanding of data structures, algorithms, and design patterns
- Good written communication and documentation abilities
- Comfortable in a small, intense, and high-growth environment
- Ability to rapidly prototype real features in a startup environment
- You know and can admit when something is not great. You can recognize that something you did needs improvement - we're not all perfect
- You can respectfully tell someone else something they did is not great, because they are not perfect
- Creativity and desire to push boundaries
- Desire to create a positive change in the world
- Experience with Computer Vision, Signals Processing preferred
- Must be authorized to work in the United States
Additional Information
All your information will be kept confidential according to EEO guidelines.

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