Sr. Applied Scientist - CV, Vulcan Stow
Core
Architect, design, and implement 3D perception models for semantic occupancy prediction and scene completion on robotic platforms to enable robots to interact safely in fulfillment centers.
Role type
Senior Applied Scientist (3D Perception/Robotics)
Builds
Scalable 3D perception pipelines, production models for robotic platforms, and pseudo-ground-truth data generation systems.
Domain
Robotics, 3D Computer Vision, Deep Learning
Deliverable
production ML models
Required skills
3D perception, encoder-decoder networks, query-based transformers, generative architectures, semantic occupancy prediction, scene completion, depth estimation, point cloud processing, multi-view fusion, ARM-based edge optimization, SageMaker, Java, C++, Python
Preferred skills
R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, distributed systems
Technologies
SageMaker, ARM processors, SAM3D, VoxFormer, MonoScene
Responsibilities
Architect and implement 3D perception models; own end-to-end model lifecycle including training and deployment; design and scale pseudo-ground-truth data generation pipelines; drive multi-view perception integration; influence technical strategy; partner with cross-functional teams; mentor applied scientists and engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities