About Bonsai RoboticsBonsai Robotics' mission is to create the next leap forward in agriculture equipment efficiency by creating a new ecosystem of semi-autonomous robotic machinery. Orchards are dusty, hazard-filled, and GPS-denied. The GPS-based autosteer features that have driven row crop efficiencies cannot function in orchards. Our vision, AI, and machine control systems offer human-level environment understanding and local navigation capabilities and will be the platform for a new wave of innovation in agricultural production and management systems. Our state-of-the-art technology empowers orchard managers to optimize their operations, dramatically reduce operational expenses, and increase profitability.NOTE: Candidates with more than 2 years of experience in training + deploying models in production settings should applyJob Overview:We are seeking a highly skilled Sr. Deep Learning Engineer to join our team. You will develop, implement, and optimize our custom deep learning models for our robotics systems. You should have a strong background in ML modeling (preferably object detection & segmentation). The ideal candidate will be proficient in programming languages such as C++ and Python.What you'll do:Research, prototype, enhance, and implement cutting-edge perception algorithms (such as 3D/2D detection, segmentation, and classification) for autonomous vehicle deployment.Develop and optimize large-scale deep learning models on GPU clusters, focusing on improving performance metrics.Increase the efficiency of deep learning computational processes using methods like quantization and pruning.Experience with Multi-task models is preferredEngage in collaborative efforts with software and testing teams to facilitate the integration and optimization of algorithms/modules in both simulated and real-world environments.Bonus: Experience with ROS-2 and TensorRTQualifications:Has a career in Deep Learning or Computer Vision, demonstrated by the practical application in real-world scenarios.Feature significant publications in leading AI conferences (such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR) or have notable experience in Kaggle competitions.Experience with architectures like YOLO, SSD, U-Net and Vision transformers Hold a Ph.D. or equivalent in Computer Science, Electrical/Mechanical Engineering, Physics, Applied Mathematics, Statistics, or a related area.Possess over two years of experience in deep learning algorithms or within the autonomous driving industry.Demonstrate proficiency in at least one major deep learning framework (e.g., PyTorch, TensorFlow).Have familiarity with classical computer vision algorithms, particularly multiview geometry.Be adept in developing algorithms using C/C++ or Python.Show a strong commitment to researching, developing, and applying deep learning algorithms to novel problems.Exhibit effective communication skills for clear dissemination of information and results.Bonsai Robotics values diversity, inclusivity, and excellence in hiring and strongly encourages candidates from traditionally underrepresented backgrounds to apply.