Gatik AI Inc.
Technical Lead, Behavior Prediction
Gatik AI Inc., Mountain View, California, us, 94039
About the role:
We're currently looking for a tech lead with specialized skills in Behavior Prediction. You will play a vital role in developing ML models that accurately predict the behavior of surrounding agents and plan optimal trajectories for our AVs. You will play an essential role in helping accelerate the development and deployment of our AV technology - designing, implementing, and deploying these models both on-vehicle and within simulation environments for validation. This position has a strong technical background, hands-on software engineering experience, and a knack for solving hard problems.What you'll do:
Develop algorithms to advance research in agent behavior prediction in interactive scenesFrame the open-ended real-world problems into well-defined ML problems. Creatively and collaboratively build new deep learning models that can predict the future behavior of other road users in real-timeDesign and develop offline generative models for use within simulation and validation environments, ensuring accuracy and fidelity in representing real-world scenariosWork with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model trainingConduct thorough validation and testing of machine-learned models in simulation and real-world environments to ensure robust performance and generalization.Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliabilityWhat we're looking for:Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, robotics, or related fieldExperience in statistical inference and machine learningGood programming skills in languages such as Python and/or C++Experience in open-source deep learning frameworks such as PyTorch or TensorflowExperience with latency of analysis and optimization of safety critical software systemsSolid understanding of data structures, algorithms, parallel programming, code optimization, and Strong experience in software engineering and algorithm design large-scale data processingStrong experience in software engineering and algorithm designExperience in data science including data collection, analysis, hypothesis formulation and verificationExperience with simulation environments for autonomous vehicles, such as CARLA, SUMO, or similar platforms, is a plusPublications in top-tier conferences (CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, ICRA, IROS)
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We're currently looking for a tech lead with specialized skills in Behavior Prediction. You will play a vital role in developing ML models that accurately predict the behavior of surrounding agents and plan optimal trajectories for our AVs. You will play an essential role in helping accelerate the development and deployment of our AV technology - designing, implementing, and deploying these models both on-vehicle and within simulation environments for validation. This position has a strong technical background, hands-on software engineering experience, and a knack for solving hard problems.What you'll do:
Develop algorithms to advance research in agent behavior prediction in interactive scenesFrame the open-ended real-world problems into well-defined ML problems. Creatively and collaboratively build new deep learning models that can predict the future behavior of other road users in real-timeDesign and develop offline generative models for use within simulation and validation environments, ensuring accuracy and fidelity in representing real-world scenariosWork with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model trainingConduct thorough validation and testing of machine-learned models in simulation and real-world environments to ensure robust performance and generalization.Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance prediction accuracy and reliabilityWhat we're looking for:Ph.D. or highly qualified M.S. candidate in computer science, electrical engineering, robotics, or related fieldExperience in statistical inference and machine learningGood programming skills in languages such as Python and/or C++Experience in open-source deep learning frameworks such as PyTorch or TensorflowExperience with latency of analysis and optimization of safety critical software systemsSolid understanding of data structures, algorithms, parallel programming, code optimization, and Strong experience in software engineering and algorithm design large-scale data processingStrong experience in software engineering and algorithm designExperience in data science including data collection, analysis, hypothesis formulation and verificationExperience with simulation environments for autonomous vehicles, such as CARLA, SUMO, or similar platforms, is a plusPublications in top-tier conferences (CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, ICRA, IROS)
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