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Fall Machine Learning Co Op Jobs in Brighton, MA

Northeastern University

Co-op Counselor

Boston, MA · On-site

$61K - $75K/yr

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Manage co-op program communications to COE students and employers, including announcements for ...

Northeastern University

Co-op Counselor

Boston, MA · On-site

In this role, the Co-op Counselor guides students through the co-op process, including job search ... Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Brighton, MA

Fall Machine Learning Co Op information

See Brighton, MA salary details

$27.8K

$46.4K

$95.9K

How much do fall machine learning co op jobs pay per year?

As of Aug 8, 2026, the average yearly pay for fall machine learning co op in Brighton, MA is $46,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,400.00 and $50,100.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Brighton, MA? For Fall Machine Learning Co Op jobs in Brighton, MA, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Brighton, MA look for? The top searched job categories for Fall Machine Learning Co Op jobs in Brighton, MA are:
What cities near Brighton, MA are hiring for Fall Machine Learning Co Op jobs? Cities near Brighton, MA with the most Fall Machine Learning Co Op job openings:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Brighton, MA as of June 2026, with employment types broken down into 32% Full Time, and 68% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,409 per year, or $22.3 per hour.

Sensors Fall/Spring Co-op - RF Systems Engineer

STR

Woburn, MA • On-site

$52K - $79K/yr

Full-time

Re-posted 2 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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