2027 Summer Intern, AI Engineer

About the Role

• 10-week, full-time, graduate-level internship expected to begin in June and end in August 2027.
• Hybrid work model (minimum 2x per week) from the Reston, VA office.
• Pay: $32 per hour.
• No housing or relocation assistance provided.

Key Responsibilities

• Contribute to the AI lifecycle:
• Support the end-to-end AI product development process, including data acquisition, preprocessing, model design, training, optimization, deployment, monitoring, and evaluation.
• Assist in all phases of the machine learning lifecycle: data collection, preprocessing, model development, optimization, deployment, and evaluation.
• Develop machine learning models:
• Design, develop, and train advanced machine learning models, including deep learning and large-scale models, for domains like Natural Language Processing (NLP) and Generative AI.
• Build and train machine learning models, including deep learning models, to solve complex challenges in areas such as NLP, computer vision, or generative AI.
• Analyze large datasets:
• Conduct exploratory data analysis and advanced feature engineering on large-scale, semi-structured datasets to uncover actionable insights and enhance model accuracy and efficiency.
• Perform data analysis and feature engineering on massive, semi-structured datasets to extract meaningful insights and improve model performance.
• Engineer robust software:
• Develop high-quality, production-ready code in languages such as Python, Java, C++, R, JavaScript.
• Develop code with a good understanding of common AI development frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Participate in system design discussions, code reviews, and testing to ensure robust and maintainable software.
• Write clean, production-level code in languages like Python and C++, and participate in design sessions and code reviews.
• Research emerging technologies:
• Research and prototype cutting-edge AI and machine learning methodologies, including advancements in areas like explainable AI, federated learning, or multimodal models.
• Stay abreast of the latest research and industry trends in AI and machine learning.
• Collaborate across teams:
• Partner with cross-functional teams, including product/project managers, data engineers, data scientists, and software engineers.
• Refine project requirements, align on objectives, and deliver innovative, high-impact AI-driven solutions.
• Work closely with cross-functional teams to define project requirements and deliver high-quality technology products.

Requirements & Tech Stack

• Programming Languages: Python, Java, C++, R, JavaScript
• AI Development Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
• Version Control: Git (a plus)

Qualifications

• A minimum of 9 credit hours of completed graduate-level courses in Computer Science, Machine Learning, AI Engineering, Data Science, or a related technical field.
• A completed bachelor's degree in Computer Science, Machine Learning, AI Engineering, Data Science, or a related technical field.
• Candidate must be a US citizen, reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. per contract requirements.

Preferred Qualifications

• A strong foundation in core computer science concepts, including object-oriented design, data structures, algorithms, and complexity analysis.
• Proficiency in at least one general-purpose programming language, with a strong preference for Python.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Demonstrated experience with large-scale datasets and data preprocessing.
• Excellent problem-solving, communication, and collaboration skills.
• Experience with version control systems like Git is a plus.

Perks of working with us

• Mentorship: Paired with a dedicated mentor for growth and development.
• Hands-on experience: Gain practical experience on impactful, real-world AI projects.
• Learning opportunities: Access training resources and workshops.
• Networking: Build connections with scientists, engineers, and visionaries.