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Fall Machine Learning Co Op Jobs in Virginia (NOW HIRING)

Capital One

Senior Machine Learning Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience ...

Capital One

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience ...

Capital One

Senior Machine Learning Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience ...

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Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op job?

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 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 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.
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Infographic showing various Fall Machine Learning Co Op job openings in Virginia as of May 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Temporary. Highlights an 100% In-person job distribution.
Lighting Designer/Engineer Intern/Co-op Fall 2026 - Energy Solutions

Lighting Designer/Engineer Intern/Co-op Fall 2026 - Energy Solutions

legence

Fairfax, VA

$17 - $22.25/hr

Other

Posted 15 days ago

Job description

CMTA is one of the fastest growing engineering firms in the U.S. with nationally recognized expertise in sustainable, high performance building engineering. We are a collaborative, competitive, innovative, and energetic group of engineers and team leaders who incorporate a holistic approach towards consulting engineering, performance contracting, and zero energy projects. We focus on finding engineers whose personalities lead them to excellence, and we provide exceptional opportunities for our employees.

The core business of our Energy Solutions division is the delivery of Guaranteed Energy Savings Performance Contracts (ESPCs). Simply put, our ESPCs are a viable way to upgrade and renovate facilities in a budget-neutral or even budget-positive way. The process diverts money already being spent on utilities and directs it into facility upgrades, covering scope development, design, bidding, construction management, commissioning, measurement and verification, and even ongoing energy management services. We have experience in designing the nation’s most energy efficient buildings, including many zero energy buildings. Our knowledge is unparalleled in the Guaranteed ESPC market, which allows us to dive deeper than our competitors.
CMTA Energy Solutions has a robust co-op program for college students pursuing a degree in engineering. We offer an immersive experience in the world of Guaranteed Energy Savings Performance Contracting for one or more semesters. Our co-ops build competitive industry skills in a hands-on environment through collaborative project tasks with full-time engineers while under the direct supervision of Professional Engineers. Our program is designed to develop students into full-time caliber employees that contribute to the company’s growth. The ideal candidate will possess excellent interpersonal skills and will be able to work well both as a team member and independently. Our program stands apart from the typical, rehearsed co-op rotation in which every co-op gains the same experience because it is designed for co-ops to stand out and take on challenging projects. Co-ops will be involved with multiple Guaranteed Energy Savings Performance Contracts and will have a role in every stage of their development. Each stage offers a variety of valuable experiences, from initial development through implementation. Whether co-ops are interested in building their skill set in identifying and calculating energy savings measures, developing renovation documents, or hands-on field experience, CMTA Energy Solutions is bound to overcome expectations.
Lighting Co-ops can expect to get hands on experience with commercial lighting systems. By the end of the program co-ops will have gained the experience to be able to deliver a full LED lighting upgrade design from scratch. Our Lighting co-op will directly support our lighting project managers.
Job Functions: (may include but are not limited to)

  • Assist in all aspects of the project development phase – including site visits, building audits
  • Energy calculations in relation to lighting upgrades
  • Produce detailed construction documents using CAD for LED lighting upgrades
  • Support material procurement and construction management staff during implementation of lighting upgrades
  • Field verify proper installation and implementation of LED lighting upgrades

Requirements:

  • Pursuing a BSEE, preferably a sophomore (2nd year), or junior (3rd year),
  • CAD experience is helpful but not required
  • Strong interpersonal and communication skills
  • Proficiency with Microsoft Word and Excel
  • Ability to work both independently and as a team member and
  • Ability to travel for field work.

#LI-OS1 #LI-Onsite

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