Software Engineer, Machine Learning (All Levels)

Overland AI develops autonomous ground vehicles for modern defense that operate in challenging terrain without GPS, roads, or prior maps. The Software Engineer, Machine Learning will design, prototype, and deploy machine learning algorithms for perception, state estimation, and behavior planning while improving vehicle reliability and performance across the autonomy stack.

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
• Employment is contingent on the ability to comply with U.S. export control laws