AI Engineer Intern - Fury Team

The future of defense will be decided by those who field intelligent machines at scale. At Scout, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. It’s not just a leap in autonomy, it’s a force multiplier built for real-world conflict. This mission will ask everything of us: urgency, precision, and relentless work.

The Role

We’re seeking an AI Engineer Intern for Summer 2027 who is passionate about machine learning, robotics, and the future of autonomous systems. As part of the Fury Team, you'll work alongside leading AI and robotics engineers to prototype and test cutting-edge multimodal models that will become the cognitive engine of our robotic platforms. Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense.

This 10-week internship is ideal for students looking to apply their research and engineering skills to high-stakes, real-world applications. You’ll gain exposure to the full AI stack, from perception to control, and work on models that run in real world environments.

What You’ll Do

- Support the design, training, and evaluation of state-of-the-art VLA models for robotic systems

- Help develop and test scalable ML architectures for perception, robotic actuation, multi-agent coordination, and multi-step reasoning

- Build model experimentation and evaluation pipelines, utilizing synthetic data gen, simulation, and benchmarking environments

- Translate research insights into code, experiments, and tests for embodied agents

- Collaborate with mentors and team members on AI model integration and realtime performance tuning

- Participate in and help plan data collection and model testing on real robotic hardware and simulation platforms

- Track, digest, and incorporate breakthroughs from the latest literature in VLMs, RL, CV, and autonomous agents

- Support field trials and mission operations to validate model performance under real-world constraints

Qualifications

- Currently pursuing a BS, MS, or PhD in Computer Science, Robotics, AI, or a related field

- Strong programming skills in Python, and experience with PyTorch or TensorFlow or JAX

- Familiarity with deep learning application to at least one of: control policies, visual understanding, language modeling, or reinforcement learning

- Comfortable navigating open-ended problems and proposing technical solutions

- Bonus: Experience with robotics or real-time systems

- Bonus: Experience training models on large-scale compute resources

- Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Why Join Scout

- Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines

- Be a core part of a team building the first defense-specific robotic foundation model

- Collaborate with some of the top engineers in autonomy, AI, and national security

- See your work deployed on real systems

- Help define the future of intelligent defense systems

- Backed by Draper Associates, Booz Allen Ventures, and other top investors

Benefits

- Competitive Cash Compensation

- Company holiday calendar

- Catered lunch daily and fully stocked kitchen

- EV charging

- Housing stipend assistance (depending on role eligibility)