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:
What you'll do:
- Collaborate with cross-functional teams to design and implement ML models that understand the full scene around our vehicle and forecast the behavior of other agents, including pedestrians, cyclists, and vehicles.
- Develop models that run efficiently on-vehicle to enable real-time behavior prediction and decision-making for autonomous driving systems.
- Design and develop offline generative models for use within simulation and validation environments, ensuring accuracy and fidelity in representing real-world scenarios.
- Work with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model training.
- Train ML models using appropriate algorithms and techniques, optimizing performance metrics.
- Conduct 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 reliability.
- Document model architectures, methodologies, and results clearly and concisely. Collaborate effectively with team members to integrate models into the overall autonomous driving system architecture.
What we're looking for:
- Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on machine learning or artificial intelligence.
- Proven experience in developing SOTA ML models for prediction and behavior planning in autonomous vehicles or related domains.
- Good programming skills in languages such as Python and/or C++, as well as proficiency in relevant machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data preprocessing, feature engineering, and handling large-scale sensor data.
- Familiarity with on-vehicle deployment of machine learning models and optimization for real-time execution.
- Experience with simulation environments for autonomous vehicles, such as CARLA, SUMO, or similar platforms, is a plus.
- Excellent analytical and problem-solving abilities, with a strong attention to detail.
- Effective communication skills and the ability to work collaboratively in a fast-paced, multidisciplinary team environment.
More about Gatik:
- Gatik AI Website
- Tyson Foods Takes First Taste Of Autonomous With Gatik
- Forbes Cover featuring Gautam Narang 2023
- The 10 most innovative companies in transportation of 2023
- Gatik and Kroger multi-year commercial collaboration
- America’s Best Startup Employers of 2023 by Forbes
- America’s Best Startup Employers of 2022 by Forbes
- Gatik been named as a 2023 FreightTech 25 winner!
- Gatik named a TIME Best Invention of 2022
- Apeksha Kumavat recognized on the Inc. 2022 Female Founders 100 List
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