Overland AI is transforming land operations for modern defense, leveraging advanced research in robotics and machine learning. The role involves designing and deploying machine learning algorithms to enhance off-road autonomy.
Responsibilities:
- Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python)
- Identify, implement, and respond to meaningful metrics that affect vehicle behavior
- Serve as a technical expert for the team balancing short-term deliverables and long-term directions
- Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system
Requirements:
- MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems
- Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc
- Excellent linear algebra, probability theory, and optimization knowledge
- Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc
- You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines
- Ability to obtain and maintain a DOD Security Clearance
- Knowledgeable in any related technologies such as C++, CUDA, ROS, etc