AI ML Intern: Hybrid, Mentorship & Real-World ML

ICF Olson; Reston (VA); Hybrid; USD 38,000 - 64,000; Full time

Benefits offered by this job

Mentorship

Hands-on experience

Learning resources

Networking

Job summary

ICF is seeking a Software Engineer Intern to join our AI research and development team in Reston, VA for a 10-week, full-time internship. You will collaborate with experienced researchers and engineers to design, develop, and deploy advanced ML models, including NLP and generative AI, while gaining hands-on mentorship and career development support.

The program runs from June to August, with hybrid work from the Reston office and no housing or relocation assistance provided.

Qualifications

• By start date, a minimum of 30 completed college-level credit hours is required preferably in computer science, Information Technology, or related 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.
• Proficiency in Python is preferred, with experience in ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience with large-scale datasets and data preprocessing is preferred.

Responsibilities

• Contribute to the AI lifecycle: Support the end-to-end AI product development process, encompassing data acquisition, preprocessing, model design, training, optimization, deployment, monitoring, and evaluation to ensure scalable and robust solutions.
• Assist in all phases of the machine learning lifecycle, including 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, to address complex challenges in NLP and generative AI.
• Build and train machine learning models, including deep learning models, to solve complex challenges in 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, along with a good understanding of common AI development frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn while actively participating 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 to ensure software quality.
• 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, while keeping abreast of the latest research and industry trends.
• Help research and prototype new AI and machine learning techniques, staying up-to-date on the latest advancements in the field.
• Collaborate across teams: Partner with cross-functional teams, including product or project managers, data engineers and scientists, and software engineers to refine project requirements, align on objectives, and deliver innovative, high-impact AI-driven solutions.
• Work closely with cross-functional teams, including product managers and other engineers, to define project requirements and deliver high-quality technology products.

Skills

Python

CS fundamentals

Communication

Team collaboration

Education

30 college-level credits

Tools

PyTorch

TensorFlow

Scikit-learn

Git

Job description

ICF is seeking a Software Engineer Intern to join our AI research and development team in Reston, VA for a 10-week, full-time internship. You will collaborate with experienced researchers and engineers to design, develop, and deploy advanced ML models, including NLP and generative AI, while gaining hands-on mentorship and career development support.

The program runs from June to August, with hybrid work from the Reston office and no housing or relocation assistance provided.