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

Ulliman Schutte

Co-op / Internship Engineers

Washington, DC · On-site

$17.75 - $23.25/hr

Co-op Term Timelines: Fall 2026 (August through December), Spring 2027 (January through May). Some summer opportunities may also be available for highly qualified candidates. * Potential work ...

Ulliman Schutte

Co-op / Internship Engineers

Washington, DC · On-site

$17.75 - $23.25/hr

Co-op Term Timelines: Fall 2026 (August through December), Spring 2027 (January through May). Some summer opportunities may also be available for highly qualified candidates. * Potential work ...

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Fall Machine Learning Co Op information

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

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.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

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.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
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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.
Fall Project Engineer Co-Op

Fall Project Engineer Co-Op

American Contracting & Environmental Services Incorporated

Washington, DC • On-site

Full-time

Posted 28 days ago

Be an early applicant

Key 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.

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.