About Bonsai Robotics

Bonsai 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 apply

Job 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 preferred

• Engage 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 TensorRT

Qualifications:

• 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.