AI Technical Internship

Amida Technology Solutions • Richmond, VA

1d • Onsite

About The Position

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.
Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.
Each year, Amida offers an AI Technical Internship in honor of Dr. Per K. Enge, Amida board member, strategic advisor, and close friend of the company. Dr. Enge was the Vance and Arlene Coffman Professor of Engineering at Stanford University and one of the world's foremost experts in global positioning system (GPS) technologies. His research focused on improving the capabilities of satellite navigation, and he led the deployment of two different navigation systems still widely used to this day.
Dr. Enge co-founded the Stanford Center for Position, Navigation, and Time. He held over 30 patents, was a noted writer and editor, and was the recipient of numerous awards and honors including election to the National Academy of Engineers, the Air Force GPS Hall of Fame, and the prestigious GNSS Signals Award from GPS World magazine. Beyond his technical contributions, Dr. Enge was first and foremost a teacher and a mentor. He had a passion for sharing knowledge and wanted to inspire others into the field that he loved so much. He believed in giving people chances.
To honor Dr. Enge's legacy, Amida offers a paid technical internship in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or a related technical field. We are looking for highly motivated candidates who are interested in a mentor-guided opportunity to apply what they have learned in the classroom to the real world. This will be a 24-hour a week position spanning 4-6 weeks. The selected interns will work with one or more ongoing data science projects such as:
Apply data science and machine learning methods to design agents with goal-oriented and context-aware behavior
Develop and simulate multi-agent systems that can learn to cooperate, compete, or organize based on environmental cues
Explore reinforcement learning and large language model (LLM)-driven agents for adaptive decision-making and real-time interaction
Design, develop, and execute test cases for various software products

Requirements

• High school diploma PLUS at least 1 year of college level study in Data Science, Statistics, Mathematics, Computer Science, Computer Engineering, or a related STEM field
• Demonstrated passion for data science and eagerness to learn new techniques and technologies
• Enjoy collaboration
• Superior communication skills
• Excellent organizational skills
• Attention to details
• Self-motivated
• On-site in Glen Allen, VA three days per week
• Libraries like NumPy, Pandas, and Matplotlib
• Azure: Cognitive Search, Synapse, Machine Learning, Cloud
• BERT
• GPT
• HDL languages such as VHDL, System Verilog, Verilog
• AML
• Figma/usability testing
• Snowflake
• Java/JavaScript
• VSCode
• Gradle
• Graph algorithms/techniques
• Software testing concepts/methodologies
• Unix/Linux software development
• Scripting languages such as TCL, Python, Unix shell scripts

Responsibilities

• Apply data science and machine learning methods to design agents with goal-oriented and context-aware behavior
• Develop and simulate multi-agent systems that can learn to cooperate, compete, or organize based on environmental cues
• Explore reinforcement learning and large language model (LLM)-driven agents for adaptive decision-making and real-time interaction
• Design, develop, and execute test cases for various software products

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed