About the Role
The intern will contribute to the design, implementation, and evaluation of agentic systems—AI-driven agents capable of autonomous decision-making and goal-directed behavior. This role involves close collaboration with researchers and engineers to prototype, test, and refine system behaviors in dynamic environments.
Responsibilities
- Design and implement components of autonomous agent architectures
- Develop simulations to test agent decision-making under varying conditions
- Collaborate with research teams to integrate learning algorithms into agent frameworks
- Evaluate agent performance using quantitative and qualitative metrics
- Document system designs, experiments, and results for internal review
- Iterate on agent behavior based on feedback and testing outcomes
- Assist in the creation of benchmarks for agentic capabilities
- Explore safety and alignment considerations in autonomous systems
- Support integration of agents into multi-agent environments
- Contribute to technical discussions on agent reasoning and planning
- Prototype tools for monitoring and debugging agent actions
- Work with large-scale datasets to train and evaluate agent policies
- Analyze emergent behaviors in agent populations
- Participate in sprint planning and technical standups
- Present findings and progress to the broader team regularly
Nice to Have
- Master's or PhD candidate in a relevant technical discipline
- Publication record or research experience in AI or machine learning
- Hands-on experience with agent-based modeling frameworks
- Knowledge of formal verification methods for AI systems
- Experience deploying AI systems in real-world or simulated environments
- Familiarity with natural language processing for agent communication
- Background in cognitive science or human-AI interaction
- Proficiency with cloud computing platforms such as AWS or GCP
- Experience with containerization tools like Docker
- Understanding of interpretability techniques for AI decisions
Compensation
Competitive hourly rate based on experience and academic level
Work Arrangement
Hybrid work model with flexible in-office and remote options
Team
Collaborative environment within a research-driven AI team focused on prototyping next-generation intelligent systems
Research Focus
This role emphasizes the development of agents that exhibit goal-directed behavior, adaptability, and robust interaction with environments and other agents. Research directions include agent memory, planning, and long-horizon task execution.
Collaboration Expectations
Interns are expected to work closely with senior researchers and engineers, contributing to ongoing projects while also proposing and leading small-scale experiments aligned with team objectives.
Project Timeline
The internship is structured around a 12-week period with defined milestones, including initial prototyping, mid-point review, and final demonstration of capabilities.
Learning Outcomes
Interns will gain hands-on experience in building and evaluating advanced AI agents, exposure to cutting-edge research in agentic systems, and mentorship from domain experts.
Not available for this position
