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AI Research Scientist, Behavior (Beyond Imitation) Mountain View, CA - Mountain View California
Company: Gatik AI Inc. Location: Mountain View, California
Posted On: 11/14/2024
Who we are: Gatik, the leader in autonomous middle mile logistics, delivers goods safely and efficiently using its fleet of light & medium-duty trucks. The company focuses on short-haul, B2B logistics for Fortune 500 customers including Kroger, Walmart, Tyson Foods, Loblaw, Pitney Bowes, Georgia-Pacific, and KBX; enabling them to optimize their hub-and-spoke supply chain operations, enhance service levels and product flow across multiple locations while reducing labor costs and meeting an unprecedented expectation for faster deliveries. Gatik's Class 3-7 autonomous box trucks are commercially deployed in multiple markets including Texas, Arkansas, and Ontario, Canada. About the role: We're currently looking for research scientists with specialized skills in Autonomous Driving Behavior, including, but not limited to, prediction and planning, going beyond imitation learning, and addressing closed-loop discrepancy issues. You will play a vital role in developing ML models that accurately predict the behavior of surrounding agents and plan and select optimal trajectories for our AVs. In this pivotal role, you'll be instrumental in designing and refining the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking. What you'll do: - Develop novel algorithms in agent behavior prediction and AV planning in interactive scenes
- Conduct research on combined prediction and planning models
- Work on Reinforcement Learning and other approaches to Planning beyond Imitation Learning
- Develop robust prediction and planning metrics for assessing the behavior systems in closed loop
- Push forward the cutting-edge AI closed-loop methods for use in the Autonomy Stack for both Planning and Selection
- Test ML models in simulation to ensure robust performance and generalization
- Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability
- Participate in the AI Research team activities targeting internal education and external scientific image
- Work closely with the Production teams to push your idea into the deployment
- Propose new ideas and build on top of state-of-the-art knowledge
What we're looking for: - You have a Ph.D. in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field
- You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general
- You have at least 1-3 years of research experience in one or more of the following areas: Reinforcement Learning (preferable), Behavior Prediction and/or Planning, Statistics, Probability theory
- Deep knowledge of Autonomous Driving Behavior including
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