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Fall Machine Learning Co Op Jobs in Malden, MA (NOW HIRING)

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 ...

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

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 ...

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 ...

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 ...

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 Malden, MA salary details

$26.6K

$44.4K

$91.8K

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

As of Aug 9, 2026, the average yearly pay for fall machine learning co op in Malden, MA is $44,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 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 job categories do people searching Fall Machine Learning Co Op jobs in Malden, MA look for? The top searched job categories for Fall Machine Learning Co Op jobs in Malden, MA are:
What cities near Malden, MA are hiring for Fall Machine Learning Co Op jobs? Cities near Malden, MA with the most Fall Machine Learning Co Op job openings:
Infographic showing various Fall Machine Learning Co Op job openings in Malden, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,413 per year, or $21.4 per hour.

Co-op Counselor

NorthEastern

Boston, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


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 Social Sciences and Humanities (CSSH) and Bouve College of Health Sciences by providing one-on-one and group advising for students seeking co-ops and other career development programs, in support of Co-op Faculty. Collaborating closely with the CSSH and Bouve Co-op Teams, this position supports students seeking co-op opportunities, provides programming and operations support for seasonal events, and administers the Career Peer Advisor program. 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 CSSH and Bouve 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 and mock interviews for students requiring additional support; update co-op advisors with status and comments.
  • Facilitate ongoing outreach and check-ins with students during their co-op experience; escalate concerns to Co-op Faculty for follow-up and direct student engagement as appropriate.
  • Coach students pursuing self-developed co-ops outside of Northeastern's database, guiding them through available platforms and supporting them through the vetting, approval, and registration process.
  • Support students pursuing global co-op opportunities across Bouve and CSSH, 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.
  • Administer the Career Peer Advisor program, including coordination of hiring, training, scheduling, and ongoing support

Employer & Student Programming

  • Coordinate logistics for employer engagement activities, serving as a point of contact for scheduling, materials, and follow-through.
  • Support employer recognition initiatives as assigned.
  • Collaborate with Co-op Coordinators to create, facilitate, and support workshops, events, and seasonal programming.
  • Cover for Co-op Coordinators who are out of the office, responding to students, employers, and other internal stakeholders.
  • Assist with co-op class preparation and management of Canvas courses as needed.

Program Operations & Communications

  • Manage co-op program communications to CSSH and Bouve students and employers, including announcements for recruitment deadlines, interview schedules, and events.
  • Maintain and update SharePoint resources, student-facing resources, internal team documentation, and the co-op resource library.
  • Support data tracking and reporting functions, including monitoring application activity and surfacing relevant findings to Co-op Coordinators.
  • Support operational functions including course enrollment monitoring, CourseLeaf planning support, and work-study or student worker coordination as assigned.
  • 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.