Sr. Computer Vision / Machine Learning Engineer

About the roleWe are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities.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 across teams to deploy CV/ML models into productionImprove 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 teamsThis role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas.Must have5+ years of industry experience in Computer Vision / Machine LearningPython/PyTorchExpertise in 2D and 3D computer vision techniquesProficiency with LinuxGitAWS/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 distillationmodel quantization, and network pruningAdaptive and desire to assume responsibility in a fast-paced startup environmentNice to haveExperience with C/C++Familiarity with ROS (Robot Operating System)Knowledge of model deployment frameworks (e.g., TensorRTRKNNOpenVINOONNXCoreMLExperience with TypeScript/JavaScript and DjangoExperience with data labelers, tooling, and data managementJ-18808-Ljbffr