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Fall Machine Learning Co Op Jobs in Lorton, VA (NOW HIRING)

Co-op / Internship Engineers

Washington, DC · On-site

$17.75 - $23.25/hr

Co-op Term Timelines: Spring 2027 (January through May) or Fall 2027 (August through December). Some summer opportunities may also be available for highly qualified candidates. * Potential work ...

Co-op / Internship Engineers

Washington, DC · On-site

$17.75 - $23.25/hr

Co-op Term Timelines: Spring 2027 (January through May) or Fall 2027 (August through December). Some summer opportunities may also be available for highly qualified candidates. * Potential work ...

Co-op / Internship Engineers

Washington, DC · On-site

$17.75 - $23.25/hr

Co-op Term Timelines: Spring 2027 (January through May) or Fall 2027 (August through December). Some summer opportunities may also be available for highly qualified candidates. * Potential work ...

Who You Are As a Fall 2026 Government Affairs Co-Op, you will work closely in collaboration with the Investor Relations, Strategic Operations, Risk Management and Corporate Real Estate departments at ...

... machine learning, quality assurance, and process development)) * Capital Project Management and ... Attention to detail Positions are available during the spring, summer, and fall semesters in our ...

... machine learning, quality assurance, and process development)) * Capital Project Management and ... Attention to detail Positions are available during the spring, summer, and fall semesters in our ...

Summer/Co-op Engineer

Alexandria, VA · On-site

$1.0K - $1.4K/wk

... machine learning, quality assurance, and process development)) * Capital Project Management and ... Attention to detail Positions are available during the spring, summer, and fall semesters in our ...

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Fall Machine Learning Co Op information

See Lorton, VA salary details

$25.8K

$43.1K

$89K

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

As of Aug 11, 2026, the average yearly pay for fall machine learning co op in Lorton, VA is $43,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 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 Lorton, VA look for? The top searched job categories for Fall Machine Learning Co Op jobs in Lorton, VA are:
What cities near Lorton, VA are hiring for Fall Machine Learning Co Op jobs? Cities near Lorton, VA with the most Fall Machine Learning Co Op job openings:
Infographic showing various Fall Machine Learning Co Op job openings in Lorton, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,060 per year, or $20.7 per hour.

Fall Project Engineer Co-Op

American Contracting & Environmental Services Incorporated

Washington, DC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About Company:

American Contracting & Environmental Services (ACE) is a general contractor specializing in self-perform construction of water and wastewater treatment facility construction. They are a premier builder of these projects in the Mid-Atlantic and have recently opened offices in Richmond and Chesapeake, VA and Buffalo, NY. They find success through focusing on continuous improvement and investing in the professional development of their employees. ACE has steadily grown over the past 21 years and they are consistently ranked a Top 200 Environmental Contractor by Engineering & News Record (ENR). Through continually enhancing their work processes, they produce the highest quality finished product for their clients. These efforts result in a challenging and rewarding environment as ACE's daily work preserves and improves our world‘s most precious resource – water!

About the Role:

The Project Engineer Co-Op offers a unique opportunity to gain hands-on experience in managing and supporting engineering projects from inception through completion. This fall co-op runs from August through January, providing students with an extended opportunity to immerse themselves in the construction and engineering industry while gaining real-world project experience. Co-op students will collaborate closely with experienced engineers and project managers to help ensure projects meet technical specifications, timelines, and budgetary constraints. This role is designed to develop your understanding of project lifecycle management, including planning, coordination, and problem-solving within a dynamic engineering environment. You will contribute to the preparation of technical documentation, assist in the analysis of project data, and support communication between cross-functional teams. Ultimately, this co-op aims to equip you with practical skills and insights that will serve as a strong foundation for a career in engineering project management.

Minimum Qualifications:

  • Currently enrolled in a Bachelor’s degree program in Engineering, Construction Management, or a related field.
  • Strong foundational knowledge of engineering principles and project management concepts.
  • Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint.
  • Excellent verbal and written communication skills.
  • Ability to work collaboratively in a team-oriented environment.

Preferred Qualifications:

  • Experience with project management software such as Microsoft Project or Primavera.
  • Familiarity with CAD software or other engineering design tools.
  • Previous internship or project experience in an engineering or construction setting.
  • Basic understanding of budgeting and cost control in projects.
  • Strong analytical and problem-solving abilities.

Responsibilities:

  • Assist in the development and review of project plans, schedules, and budgets to support engineering initiatives.
  • Collaborate with engineering teams to gather and analyze technical data, ensuring project requirements are met.
  • Support the preparation of technical reports, presentations, and documentation for internal and external stakeholders.
  • Monitor project progress and help identify potential risks or issues, proposing solutions to maintain project timelines.
  • Participate in meetings with project teams and clients to facilitate effective communication and coordination.

Skills:

The required skills such as proficiency in Microsoft Office and strong communication abilities are essential for preparing project documentation, analyzing data, and facilitating clear communication among team members. Preferred skills like familiarity with project management software and CAD tools enhance your capability to contribute more effectively to technical planning and design tasks. Analytical and problem-solving skills are applied daily to identify project challenges and develop practical solutions that keep projects on track. Collaboration skills enable you to work seamlessly with diverse teams, ensuring alignment and efficient progress. Overall, these skills collectively support your growth as a competent project engineer capable of managing complex engineering projects.