Mathematics, Algorithms, and Research
Algorithm and Research Intern
Explore mathematical foundations, robot perception, simulation, multi-agent systems, and research prototypes for AI-native physical systems.
InternshipMathAlgorithmsResearch
AIRoboticsSystems
Overview
Agentech builds intelligent systems that interact with the physical world, including robotics, robot perception, multi-agent systems, AI workflow automation, smart city robotics, and AI-native education tools.
We move fast and treat AI tooling as a core part of how we build. This role is for students who enjoy mathematical thinking, research-backed engineering, and turning vague technical ideas into working prototypes.
You will work directly with the engineering team on real projects, from early prototyping to shipping.
Responsibilities
- Contribute to robot perception and vision systems that help physical systems understand their environment.
- Build simulation pipelines, experiments, benchmarks, notebooks, or prototype implementations.
- Explore multi-agent coordination, AI workflow automation, and intelligent robotics workflows.
- Support intelligent hardware and robotics prototyping with math, algorithms, and practical engineering judgment.
- Help build AI-native education tools that turn complex technical ideas into usable learning experiences.
- Read papers, summarize methods, compare tradeoffs, and implement promising ideas in code.
Requirements
- Comfortable with general computer workflows and online collaboration tools such as Google Docs, Google Sheets, Zoom, Notion, Slack, and related productivity platforms.
- Comfortable with Python, Git, and Linux; able to build and debug end-to-end systems independently.
- Experience using tools such as Cursor, Claude, ChatGPT, or similar AI systems in real projects.
- Able to take a vague problem and turn it into a working prototype.
- Background in linear algebra, probability, and optimization; able to read papers and implement ideas.
- Writes clearly, asks strong questions, and collaborates effectively with teammates.
Preferred
- Experience with robotics or computer vision, including ROS, OpenCV, simulation, hardware, or related tools.
- Familiarity with LLM tooling or agent frameworks.
- Portfolio of side projects, GitHub repositories, or demos.
- Experience with Arduino, ESP32, sensors, OLED modules, or robotics hardware.
Helpful Courses
- Linear Algebra
- Probability
- Optimization
- Robotics
- Computer Vision
- Artificial Intelligence
- Machine Learning
- Simulation
- Control Systems
- Algorithms
Example Projects
- Prototype a robot perception or vision system.
- Build a simulation pipeline for robotics testing.
- Test multi-agent coordination ideas in a small working demo.
- Automate an AI workflow used by the engineering team.
- Implement a paper idea and evaluate whether it can become a practical system.
- Create a research-backed demo for smart city robotics or AI-native education.
Application Materials
- Projects, GitHub repositories, demos, papers, notebooks, or portfolio links if available.
- A short note describing a hard technical problem you worked on and how you approached it.
- Relevant math, AI, robotics, or systems courses.
- Weekly availability and a short explanation of interest in Agentech.