Senior Applied Scientist
Core
Develop and deploy state-of-the-art perception algorithms (object detection, segmentation, tracking, depth estimation) to enable robots to understand and interact with the physical world.
Role type
Senior Applied Scientist (Robot Perception)
Builds
Perception algorithms and ML models for industrial robotic systems
Domain
Robotics, Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
Computer Vision, 3D perception, Sensor fusion, Deep learning frameworks (PyTorch, TensorFlow), Python, C++, ML model deployment, Data labeling strategy
Preferred skills
Robotic perception in unstructured environments, ROS/ROS2, Point cloud processing (PCL, Open3D), SLAM, Localization, Large-scale data pipelines, Warehouse automation experience
Technologies
PyTorch, TensorFlow, ROS, ROS2, PCL, Open3D
Responsibilities
Design and deploy perception algorithms; Lead research in computer vision and sensor fusion; Collaborate with robotics and software engineers; Drive end-to-end ownership of ML models; Mentor junior scientists; Define and track performance metrics; Publish research findings
Seniority
Senior, hands-on IC