Tech Lead, Behavior (Prediction)

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 an experienced Technical Lead with specialized skills in Behavior, especially trajectory prediction, planning, and selection. 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, implementing, and deploying the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments both on-vehicle and within simulation environments for validation. This position requires a strong technical and ML background, hands-on software engineering experience, and a knack for technically lead engineers. You will collaborate with a team of experts in AI Research, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking.What you'll do:Develop and / or adjust existing state-of-the-art algorithms to advance / complement research in agent behavior prediction in interactive scenes in real-timeWork on marginal, conditional, and joint prediction Develop combined prediction and planning models using trending machine learning approachesWork with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model trainingDevelop robust testing and validation frameworks to ensure the reliability and safety of the behavior systems across diverse scenarios and edge casesConduct thorough validation and testing of ML models in simulation and real-world environments to ensure robust performance and generalizationAnalyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliabilityDocument model architectures, methodologies, and results clearly and conciselyCollaborate closely with the Data Engineering and AI Research teams to define project requirements, formulate innovative concepts, and co-design ML models and be responsible for their effective deployment in a real-world trucking environmentParticipate in hiring process for and manage the top notch ML Behavior engineersWhat we're looking for:Ph.D. or highly qualified M.S. candidate in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related fieldYou 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: Behavior Prediction (preferable), Planning, Reinforcement Learning, Statistics, Probability theory You have at least 1 year of technical leadership experience inside an industrial setting Experience in data science including data collection, analysis, hypothesis formulation and verificationDeep knowledge of Autonomous Driving Behavior including Prediction vs PlanningMarginal vs Conditional vs JointOpen vs Closed loopImitation and Reinforcement Learning approachesApplication of DiffusionStrong foundation in data structures, algorithm design, and complexity analysisExperience with latency analysis and optimization of safety critical software systemsExpertise in programming languages and tools critical for high-performance computing in Python/C++ including large-scale data processing, parallel programming, code optimization and machine learning including Deep Learning frameworks like TensorFlow/PyTorch Demonstrated ability to publish research findings in any of the top-tier technical journals and conferences (ICRA, CoRL, IROS, NeurIPS, AAAI, IJCAI, CVPR, ICCV, ECCV, ICLR, ICML, etc.)Experience with simulation environments for autonomous vehicles, such as CARLA, Waymax, or similar platforms, is a plusYou are passionate about Autonomous Driving!More about Gatik:With headquarters in Mountain View, CA and offices in Canada, Texas, Louisiana and Arkansas, Gatik is establishing new standards of success for the autonomous trucking industry every day. Visit us at Gatik for more company information and Jobs @ Gatik for more open roles.Gatik News:Gatik AI WebsiteTyson Foods Takes First Taste Of Autonomous With GatikThe 10 most innovative companies in transportation of 2023America’s Best Startup Employers of 2023 by ForbesAmerica’s Best Startup Employers of 2022 by ForbesGatik been named as a 2023 FreightTech 25 winner!Gatik named a TIME Best Invention of 2022Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 ListGatik’s Gautam Narang on the importance of knowing your customerGatik CEO Gautam Narang was Named Among the Most Exceptional Entrepreneurs of 2022 by Goldman SachsTaking care of our team:At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.