Senior Computer Vision/Machine Learning Engineer

Corvus Robotics Job PostingWe're Corvus Robotics. Our fully autonomous Corvus OneTM drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity.About the RoleWe are seeking passionate Computer Vision / Machine Learning Software Engineers to build efficient models for production robotics with constrained compute. You'll tackle diverse business and technical challenges, implementing and deploying models across our robot fleet. Our robots generate vast amounts of sensor data and we are constantly searching for ways to use this data to provide customers with deeper insights and to enhance our robots' environmental awareness. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities.US work authorization preferred, can sponsor visasLocation: In-office hybrid (Mountain View, CA)Join our team and help shape the future of robotics and machine learning!What You'll DoDevelop solutions for advanced computer vision tasks, including:Monocular and stereo depth estimationLearning-based structure-from-motion3D occupancy networksScene understandingObject detectionOptimize performance, accuracy, and speed of compute-constrained modelsCollaborate with cross-functional teams to deploy CV/ML models into productionManage and improve ML pipelines and infrastructure for dataset management, training, and deploymentParticipate in R&D initiatives (20% of time) to experiment with state-of-the-art techniquesDrive business value by leveraging your work across robotics, software, and deployment teamsMust HaveAdaptive and desire to assume responsibility in a fast-paced startup environment5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorchExpertise in 2D and 3D computer vision techniquesProficiency with Linux, Git, AWS/GCP, and CI/CD workflowsExperience in performance engineering for deep neural networks (both training and inference)Knowledge of model optimization techniques for embedded systems, including knowledge distillation, model quantization, and network pruningNice To HaveExperience with C/C++Familiarity with ROS (Robot Operating System)Knowledge of model deployment frameworks (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML)Experience with TypeScript/JavaScript and DjangoExperience with data labelers, tooling, and data management