Qualifications
Key ResponsibilitiesDesign and maintain scalable data pipelines for 2D/3D detection, segmentation, instance segmentation, and depth estimation. Create and optimize data workflows across multi-camera systems and lidar data stored in MCAP format. Collaborate with cross-functional teams to ensure seamless integration of machine learning solutions into operational workflows.
About the job
About the Role
Join our dynamic team at Bonsai Robotics as a Senior MLOps Engineer, where you'll play a pivotal role in shaping the future of robotics. We seek an innovative engineer who excels in real-world environments and can oversee the complete machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. Your contributions will support a sophisticated perception stack that includes 2D/3D object detection, semantic and instance segmentation, depth estimation, and multi-sensor fusion utilizing both camera and lidar technologies.
This position is highly collaborative; you will work closely with perception engineers, autonomy specialists, field operations, and external labeling teams. Your work will be fast-paced, impactful, and will influence every vehicle deployed in the field.
About Bonsai Robotics
About Bonsai RoboticsBonsai Robotics is at the forefront of transforming outdoor equipment through affordable, vision-based autonomy. Our mission is to redefine the landscape of outdoor automation with Bonsai Intelligence—a connected platform inspired by biological processes to see, think, and act with human-like precision. By integrating advanced perception, embodied AI, and partnerships with equipment manufacturers, we deliver reliable automation solutions tailored for the most challenging field operations.