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Fall Machine Learning Co Op Jobs in Brighton, MA

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Update co-op coordinators with student status updates and comments, specifically after mock ...

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 ...

Co-op Counselor

Boston, MA ยท 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 ...

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Update co-op coordinators with student status updates and comments, specifically after mock ...

Superintendent Co-Op

Canton, MA ยท On-site

$22/hr

Timberline Construction Corp. is growing and looking to add an Assistant Superintendent Co-op to our field team for the Fall Semester! Essential Duties & Responsibilities: * Support Field Support ...

Superintendent Co-Op

Canton, MA ยท On-site

$22/hr

Timberline Construction Corp. is growing and looking to add an Assistant Superintendent Co-op to our field team for the Fall Semester! Essential Duties & Responsibilities:Support Field Support team ...

Assistant/Associate Co-op Coordinator

Boston, MA ยท On-site

$19.75 - $27.25/hr

Integrated Learning: Cooperative education is an integral part of the academic experience at ... The Co-op Coordinator shares knowledge of industry with academic faculty to integrate employment ...

Showing results 21-40

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:
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.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

About the Opportunity
JOB SUMMARY
The Co-op Counselor supports the Office of the Chancellor and the Cooperative Education programs for the College of Science (COS) and the College of Arts, Media and Design (CAMD) by providing operational, advising, and employer-facing support to Co-op Faculty. In this role, the Co-op Counselor guides students through the co-op process, including job search preparation, application support, self-developed co-op opportunities, co-op advising support, and ongoing engagement while on co-op. Communications and outreach, employer and student events coordination, maintenance of student-facing and internal resources, and contributions to data tracking and reporting are all within scope. Committed to fostering a welcoming and inclusive environment for all students, employers, and colleagues, this position is a key support resource for the co-op team, including stepping in for Co-op Faculty when needed.
QUALIFICATIONS
Minimum Qualifications
  • Bachelor's degree required.
  • Minimum of 1-2 years of professional work experience; experience in higher education, career services, human resources, or a related field preferred.
  • Prior experience advising, coaching, teaching, or facilitating in one-on-one or group settings.
  • Strong organizational, project management, and professional communication skills, with attention to detail and demonstrated problem-solving ability.
  • Proficiency in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint, Teams) and Google Suite.
  • Ability to communicate and collaborate effectively across multiple departments and colleges.
  • Comfort presenting to diverse audiences and demonstrated commitment to fostering a welcoming and inclusive environment.

Preferred Qualifications
  • Familiarity with cooperative education and/or experiential learning.
  • Experience with Salesforce, Simplicity, or similar CRM/advising platforms.
  • Experience with SharePoint, Canvas, or similar content management or educational instruction tools.
  • Experience developing or facilitating career development workshops and resources.
  • Experience with data reporting, including basic report interpretation and communicating key findings.
  • Knowledge of CPT, visa support processes, or international student employment authorization.
  • Budget management or financial reconciliation experience; familiarity with Concur or similar expense management platforms a plus.
  • Familiarity with administering peer mentoring or peer advising programs, work-study programs, or supervising students.
  • Familiarity with supporting global education programs or working with international student populations.

KEY RESPONSIBILITIES & ACCOUNTABILITIES
Student Advising & Co-op Preparation
  • Serve as a resource for COS and CAMD students seeking co-op experiences, supporting them through job search strategy and application preparation, including additional support for repeat searchers and students with early deadlines; provide first-line program coverage in the absence of Co-op Faculty.
  • Conduct resume reviews, mock interviews, LinkedIn profile reviews, and co-op preparation appointments for students across both colleges.
  • Coach students pursuing self-developed co-ops outside of Northeastern's database, guiding them through available platforms and supporting them through tthe vetting, approval, and registration process.
  • Support students pursuing global co-op opportunities across COS and CAMD, including preparation advising, pre-departure meetings, and coordination with the Office of Global Services on visa and employment authorization; maintain ongoing engagement with students throughout the global co-op experience.
  • Facilitate ongoing outreach and check-ins with students in key target areas such as repeat searchers and global co-op students; escalate concerns to Co-op Faculty for follow-up and direct student engagement as appropriate.
  • Support the Career Peer Advisor program with coordination, supervision, and training in coordination with the lead Co-op Coordinator.
  • Assist co-op faculty with co-op preparation course curriculum updates and Canvas course management as needed.
  • Update co-op coordinators with student status updates and comments, specifically after mock interview sessions
  • Provide coverage for co-op coordinators who may be out of office, planned or unplanned.

Employer & Student Programming
  • Coordinate logistics for employer engagement activities, including on-campus visits, employer spotlights, and site visit events, serving as the primary point of contact for scheduling, materials, and follow-through.
  • Support employer recognition initiatives by coordinating student nominations of supervisors, compiling recipient information, and collaborating with communications staff on certificates and employer outreach.
  • Assist Co-op Coordinators with the preparation and lead facilitation of co-op workshops, information sessions, and student-facing events for COS and CAMD students throughout the co-op cycle.

Program Operations & Communications
  • Manage co-op program communications to COS and CAMD students and employers, including announcements for recruitment deadlines, interview schedules, and program events.
  • Maintain and update COS and CAMD co-op SharePoint resources, internal team documentation, student-facing web content, and the co-op resource library; contribute to curriculum and resource development for co-op preparation courses and first-year experiential learning programs.
  • In collaboration with the centralized data team, run and distribute NUworks reports; review findings including midpoint evaluations, reflection completion, pulse checks, and application activity to identify concerns and surface relevant information to Co-op Coordinators for follow-up.
  • Support scholarship coordination for COS and CAMD co-op students, including collecting application materials, organizing review committees, and completing necessary student employment paperwork.
  • Provide operational support for program functions including course enrollment monitoring, CourseLeaf planning support, and work-study student coordination as assigned.
  • Develop and maintain the MS List Student Tracker as needed.
  • Purchasing and budget management support may be provided on an as-assigned basis in coordination with Co-op leadership.

General & University-Wide Support
  • Support college and university initiatives as assigned; contribute to committee work and assist with special projects.
  • Participate in continuous improvement efforts for program workflows, processes, and student experience.
  • Support additional college-specific functions or cross-college initiatives as directed by the university-wide co-op program.
  • The Co-op Counselor may shift their college assignment based on the business needs of the university-wide co-op program.

Position Type
Student Services
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
107S
Expected Hiring Range:
$53,615.00 - $75,728.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.