AI/ML Research Scientist

Heven AeroTech•Sterling, VA

About The Position

At Heven AeroTech (Heven), we don’t just believe in the power of people—we build our success on it. As a recognized leader in hydrogen powered drones, we’ve earned recognition for creating a workplace where innovation thrives, collaboration is second nature, and every employee feels valued. Our culture is anchored in trust, and a shared commitment to excellence. We know that great organizations are built by extraordinary teams. That’s why we invest in your professional growth, offering robust training programs, leadership development opportunities, and a clear pathway for advancement. At Heven, your voice matters, your ideas are heard, and your contributions make a tangible impact. The AI/ML Research Scientist will lead pioneering research at the intersection of artificial intelligence, quantum technologies, hydrogen systems, and autonomous aerospace operations. This role requires conducting applied research that bridges cutting-edge academic theory with mission-critical defense applications, publishing findings, filing patents, and influencing the technical direction of our autonomous systems portfolio while generating foundational intellectual property for next-generation autonomous UAS.

Requirements

Ph.D. in Computer Science, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field with dissertation in machine learning, robotics, autonomous systems, computer vision, or control theory
3+ years post-Ph.D. research experience in AI/ML
Minimum 3 peer-reviewed publications with at least one first-author paper
Expert knowledge of deep learning architectures (CNNs, transformers, reinforcement learning) and probabilistic machine learning
Proficiency in PyTorch, TensorFlow, or JAX; strong Python skills
Experience with computer vision, sensor fusion, or state estimation
U.S. Person status (U.S. Citizen, Permanent Resident, Asylee, or Refugee)
Ability to obtain DoD Secret clearance within first year

Nice To Haves

5+ years post-Ph.D. research experience with 10+ publications and H-index ≥ 3
Patent applications or issued patents in AI/ML or autonomous systems
Domain expertise in one or more: robotics/ROS, aerospace/flight dynamics, quantum computing, physics-informed ML, edge AI optimization, or adversarial ML
Proven record of transitioning research into practical applications, complemented by grant writing and Principal Investigator (PI) experience

Responsibilities

Design and implement AI/ML algorithms for autonomous navigation, including visual-inertial odometry, SLAM, and sensor fusion
Architect adversarial robustness frameworks and edge AI optimizations tailored for mission-critical defense applications.
Create predictive models for hydrogen fuel cell performance and thermal management
Build physics-informed neural networks and digital twin simulations for aerospace systems
Research quantum sensing integration methods for navigation and perception
Document research findings and prepare invention disclosures for patent applications
Write technical specifications for proprietary algorithms and system architectures
Publish research papers and present at conferences
Maintain detailed records of experimental results and methodologies
Develop proof-of-concept software in simulation and hardware-in-the-loop environments
Collaborate with engineering teams to integrate research algorithms into UAS platforms
Conduct testing and validation of algorithms using real-world flight data
Troubleshoot and refine models based on experimental performance
Participate in technical design reviews and provide AI/ML expertise
Coordinate with university partners and industry collaborators on joint research
Support proposal development for research funding opportunities
Track emerging AI/ML technologies relevant to autonomous aerospace systems