Machine Learning Intern
Arlington, VA
Applications have closed
Redhorse
We’ve all been on your side of the table at some point in our careers, in uniform or government. That experience helps us understand your challenges in a…
About the OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
About the Role Join Redhorse in revolutionizing how government leverages data and technology! We're seeking innovative minds for our Summer 2025 AI Internship program, where you'll tackle real-world challenges at the intersection of artificial intelligence and public sector transformation. As part of our dynamic intern team, you'll work on cutting-edge projects under the guidance of experienced mentors, gaining hands-on experience with state-of-the-art technologies and their practical applications to government missions. If that is your idea of a great summer, we encourage you to apply!
About the Role Join Redhorse in revolutionizing how government leverages data and technology! We're seeking innovative minds for our Summer 2025 AI Internship program, where you'll tackle real-world challenges at the intersection of artificial intelligence and public sector transformation. As part of our dynamic intern team, you'll work on cutting-edge projects under the guidance of experienced mentors, gaining hands-on experience with state-of-the-art technologies and their practical applications to government missions. If that is your idea of a great summer, we encourage you to apply!
Required Experience
- Python: You don’t need to be an expert, but to be successful you should be comfortable scripting in Python.
- Data science and machine learning: Familiarity with basic ML algorithms and data analysis techniques. Formal (e.g. classroom, prior internship) or informal (e.g. open source participation, Kaggle, personal projects) experience developing an analytical solution to a problem involving data.
- Data Manipulation: Experience in data cleaning, preprocessing, and feature engineering.
- Teamwork: Demonstrated ability to work in a collaborative environment, including good communication skills.
- Problem-Solving: Strong critical thinking skills and a willingness to tackle complex problems.
Desired Experience
- Applied Research: Ability to read and implement ideas from AI/ML research papers and open source repositories.
- Generative AI: Experience working with Generative AI tools and open source libraries.
- Software development: Experience with version control systems like Git and familiarity other programming languages (e.g. C, Java).
- Cloud Computing: Exposure to cloud platforms like AWS, Azure, or Google Cloud.
- Natural Language Processing (NLP): Experience or coursework related to text analytics or NLP.
- You don’t need to have any of the experience above, but if you do, it may help you stand out from the crowd. We encourage you to apply even if you don’t have any of the following experience.
What you'll get
- Gain valuable experience working on high-impact projects targeted towards government client use cases
- Build a strong foundation for a career in AI, with exposure to both research and practical applications
- Mentorship from industry experts
- Exposure to working with the federal government
- Networking Opportunities
- Competitive hourly salary ($30-$35/hr)
Job stats:
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Category:
Machine Learning Jobs
Tags: AWS Azure Data analysis Engineering Feature engineering GCP Generative AI Git Google Cloud Java Machine Learning NLP Open Source Python Research
Perks/benefits: Career development Competitive pay
Region:
North America
Country:
United States
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