Overland AI is a technology company specializing in revolutionary off-road autonomy for defense applications. Their OverDrive autonomy stack is designed to empower ground vehicles with unparalleled cross-country movement and tactical maneuver capabilities, even in environments without roads or GPS. The company actively supports programs within the U. S. Army, Marine Corps, and Special Operations Command and is recognized for minimizing risks to human lives by replacing them with robotic solutions in hazardous situations. Overland AI is at the forefront of robotics and human-machine integration, having been rigorously tested in the DARPA RACER program and continuously advancing their technology for military applications.
Artificial Intelligence β’ Robotics β’ Defense Technology
June 5, 2024
β Washington β Remote
π΅ $120k - $300k / year
β³ Contract/Temporary
π‘ Mid-level
π Senior
π€ Machine Learning Engineer
Overland AI is a technology company specializing in revolutionary off-road autonomy for defense applications. Their OverDrive autonomy stack is designed to empower ground vehicles with unparalleled cross-country movement and tactical maneuver capabilities, even in environments without roads or GPS. The company actively supports programs within the U. S. Army, Marine Corps, and Special Operations Command and is recognized for minimizing risks to human lives by replacing them with robotic solutions in hazardous situations. Overland AI is at the forefront of robotics and human-machine integration, having been rigorously tested in the DARPA RACER program and continuously advancing their technology for military applications.
Artificial Intelligence β’ Robotics β’ Defense Technology
β’ Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python) β’ Identify, implement, and respond to meaningful metrics that affect vehicle behavior β’ Serve as a technical expert for the team balancing short-term deliverables and long-term directions β’ Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system
β’ MS/PhD with publications in top-tier ML/CV venues (JMLR, ICML, NeurIPS, IJCV, CVPR, ICCV, etc.), OR equivalent years of industry experience in an applied research setting working on multi-year problems β’ Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc. β’ Excellent linear algebra, probability theory, and optimization knowledge β’ Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc. β’ You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines β’ Ability to obtain and maintain a DOD Security Clearance
β’ The salary range for this position is $120K to $300K annually β’ Equity compensation β’ Best-in-class healthcare, dental and vision plans. β’ Unlimited PTO β’ 401k with company match β’ Parental leave
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