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

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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.
What cities in Virginia are hiring for Fall Machine Learning Co Op jobs? Cities in Virginia with the most Fall Machine Learning Co Op job openings:
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.
Customer Success Engineer Co-op Fall 2026

Customer Success Engineer Co-op Fall 2026

IBM

Mclean, VA • On-site

Full-time

Posted 16 days ago


IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

96th of 183 rated software companies


Job description

Job Summary:
IBM is a leading technology company, and they are seeking a Customer Success Engineer Co-op to help clients realize the value of their products and grow their adoption of next-generation technologies. The role involves working closely with customers and teams to implement solutions addressing complex business challenges and showcasing IBM AI solutions.
Responsibilities:
• Understand Client's Data and AI Challenges and Building Trust: Understand clients' primary Data and AI challenges and establish yourself as a trusted technical expert for their migration, deployment, and adoption of AI and Hybrid Cloud offerings.
• Facilitating Use Case Exploration and Business Framing: Lead use case exploration and business framing workshops, develop client value realization models.
• Developing AI Solutions: Using your Data and AI engineering skills to code/ build MVPs using python, open source frameworks, RedHat and IBM watsonx.
• Leading Persuasive Technical Conversations: Lead technical discussions that persuade clients to act based on their requirements and the value provided by IBM's solutions.
• Creating Post-Deployment Customer Success Plans: Develop customer success plans aimed at continually increasing active user adoption of IBM's products.
Qualifications:
Required:
• Actively Enrolled: Registered undergraduate or graduate university student eligible and available for full time work (40 hours a week) during fall semester 2026. Students should not be enrolled in classes while working this Co-op.
• Technical Education: Seeking B.S. or M.S. degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or equivalent technical degree/experience.
• Programming Language: Experience with Python, notebooks.
• AI Skills: Experience in Machine Learning, Deep Learning, Large Language Models.
• Proficiency in Python and ML toolchains (NumPy, Pandas, Scikit-learn, Jupyter) to prototype models and data pipelines.
• Hands-on experience with model deployment (e.g. serving Hugging Face models via APIs) and LLM inference (batch vs. real-time).
• Understanding of model fine-tuning and in-context learning (choosing when to prompt-engineer vs. train) as part of the LLM lifecycle.
• Specialized Agentic AI frameworks: LangChain, LlamaIndex
• Deep Learning Frameworks: PyTorch, TensorFlow (including Keras), Hugging Face transformers
• Vector Databases: Experience with vector stores like Pinecone, Weaviate, Milvus
• Client Focused: Asks open-ended questions and understands needs to address business challenges.
• Tech Savvy: Conversant about technology, latest industry trends and how it is being applied to address business challenges.
• Team Player: Demonstrates team collaboration and can navigate different communication styles.
• Excellent Communication Skills: Possess verbal, written, and interpersonal skills that are engaging, compelling and influential.
• Self-Motivation and Problem-Solving Aptitude: A natural inclination toward self-motivation and initiative, in addition to the ability to navigate data and people to find answers and present solutions.
Preferred:
• Familiarity with agile development methodologies.
• Knowledge of AI and data governance.
• Knowledge of generative AI architectures such as RAG, chatbots.
• Experience with RedHat OpenShift and Kubernetes.
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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