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

ManTech

Machine Learning Engineer

Herndon, VA

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Frequently communicates with co-workers, management, and customers, which may involve delivering ...

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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 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 Washington? For Fall Machine Learning Co Op jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Washington look for? The top searched job categories for Fall Machine Learning Co Op jobs in Washington are:
What cities in Washington are hiring for Fall Machine Learning Co Op jobs? Cities in Washington 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 Washington as of June 2026, with employment types broken down into 13% Internship, 69% Full Time, 10% Part Time, and 8% Temporary. Highlights an 86% In-person, 6% Hybrid, and 8% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

ManTech

Herndon, VA

Other

Posted 17 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

MANTECH seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team.

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services, processing large volumes of data. This role involves collaborating with Data Scientists to design tools and train models using data from across the enterprise to support mission and business functions.

Responsibilities include but are not limited to:

  • Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business functions.

  • Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated machine learning models and analytical solutions.

  • Develop and test ML applications according to requirements, running targeted experiments to optimize overall system performance.

  • Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn).

  • Explore and visualize data to uncover key insights and identify specific factors that impact model accuracy and performance.

  • Manage and deploy cloud-based ML services across major cloud computing environments, including AWS, Azure, or Google Cloud Platform (GCP).

  • Follow Agile methodologies to deliver production-ready, highly testable code in small, efficient, and continuous iterations.

Minimum Qualifications:

  • Master's degree in Applied Mathematics, Statistics, Computer Science, or related fields.

  • Verifiable work experience defining and implementing data pipelines and machine learning algorithms.

  • Proficiency in Agile Development and Git Operations.

  • Experience creating, maintaining, and communicating complex technical documentation for machine learning systems.

Preferred Qualifications:

  • Experience with the Sponsor's primary cyber risk and compliance automation tools.

Clearance Requirements:

  • An active Secret clearance is required.

Physical Requirements:

  • Must be able to remain in a stationary position 50%.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.

  • Must be able to exchange accurate information in these situations.

MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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