Computational Mathematician Internship 2025 - Remote

Overview

The future of automation increasingly appears to consist of hybrid teams of humans, foundation models (LLMs, Diffusion Models), and multi-agent semiautonomous onboard agents acting together to achieve a common series of goals. This hybrid environment requires humans to communicate commands and intentions to agents with the potential for discontinuous communication, split-second decision making, and goal reorientation of an entire team of autonomous agents with only minimal input from a commanding user.

In Short

• Internship focused on hybrid teams of humans and autonomous agents.
• Work with US government partners on exploratory AI research.
• Develop hierarchical control systems for satellite operations.
• Projects include training agents using reinforcement learning.
• Collaborate with a team skilled in Data Science, NLP, Mathematics, and Software Development.
• Learn and code in Python.
• Integrate work with the compute platform.
• Attend weekly meetings and present work.
• Read and discuss research papers.
• Write research reports.

Requirements

• Master’s degree or higher in Computer Science, Engineering, Applied Mathematics, Statistics or other technical or mathematical fields.
• Solid math background and ability to read machine learning papers.
• U.S. Citizenship is required.
• Desirable skills include Statistics, Deep Learning, Control Theory, and Operations Research.
• Python knowledge (numpy, stablebaselines3, jax, torch) is helpful but not required.

Benefits

• Gain hands-on experience in AI research and development.
• Work in a fully remote environment.
• Collaborate with experts in various fields.
• Opportunity to learn and grow in a cutting-edge field.