Riverside Research is looking to solve challenging technical problems in national security through research and development in AI, specifically by developing agentic AI systems to enhance user interactions and automate processes.
Requirements
- Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Basic knowledge of programming languages such as Python, Java, or C++.
- Understanding of AI concepts, including natural language processing, reinforcement learning, and neural networks.
- Familiarity with version control systems (e.g., Git).
- Exposure to cloud services (e.g., AWS, Azure, Google Cloud) is a plus.
Responsibilities
- Assist in the design and development of agentic AI systems and models.
- Conduct experiments to evaluate model performance and iterate on solutions based on feedback.
- Participate in code reviews and contribute to best practices in software development.
- Maintain and update documentation for AI systems and processes.
- Help troubleshoot and resolve technical issues in existing AI applications.
- Stay current with industry trends and advancements in AI technologies.
Other
- All Riverside Research opportunities require U.S. Citizenship.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment and communicate technical concepts to non-technical stakeholders.
- Eagerness to learn and adapt to new technologies and methodologies.
