ISEE

• Leading research contributing to the development of humanistic AI for autonomous systems • Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas • Collaborating with engineering and business teams to develop novel solutions to real-world problems • Designing experiments and metrics for benchmarking resultsPublishing research in top-tier conferences and journals

• Working on the intersection of sensing and perception algorithms. • Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition. • Benchmarking and maintaining developed modules. • Work independently to deliver high-quality code in a timely fashion. • Collaborate with team for testing, evaluation and review of code.

• Provide daily technical and execution guidance on research and development tasks to perception team members. • Research, design, and develop algorithms for autonomous driving systems to solve challenging problems in ISEE's Perception and Sensor stack. • Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of: Object Detection, Localization and Mapping, Fusion and Multi Object Tracking; • Develop systems for multimodal Sensor Fusion and Calibration using multiple grade sensors including but not limited to Cameras, LiDARs, GNSS, IMUs and RaDARs. • Invent and design new algorithms, tools, and models in emerging research areas to improve the complex autonomous vehicle systems; • Develop simulations for ISEE's systems and identify discrepancies between virtual and real-world performance for future development and analysis. • Contribute novel research ideas and collaborate with team members to conduct research data analysis. Lead the algorithm design discussions to solve technical problems for these systems; • Stay up to date with current research in the field of Computer Vision and Pattern Recognition and share relevant research with the team.