Computer Vision Scientist

Candidate should be able to :

Manage the annotation of datasets via external vendors

Create and manage Kubernetes clusters of cloud-based CV products

Select and manage external vendors and dev teams to support our projects

Create mobile and cloud-based CNNs for object classification

Design, engineer, and manage our system architecture and data strategy

work with our internal engineering team to create new products

Use phone-based LiDAR as ground truth annotation for training sets

Train ML models to an approximate distance within images

understand and apply 2D and 3D mathematical concepts (linear algebra, matrix multiplication, quaternions, etc)

Candidate should have :

Experience Testing, diagnosing and fixing bugs

Experience building web apps, APIs, and SDKs

Capacity to prioritize tasks through self-directed time management and organization

Experience with Detectron 2, TensorFlow & TensorFlow3D, AlexNet, MXnet, Kubernetes, and other ML frameworks

Experience deploying CV models on a mobile device (iOS preferred)

4-6 years working on deployed CV projects

Experience with React, Node.js, and / or MongoDB

Strong Python, C++, Objective C and / or Swift, Pytorch, and javascript coding proficiency

• .3D content experience, dealing with point clouds, 3D meshes, shaders, rendering pipelines, and procedural content generation

Unity / Unreal experience or 3D content creation experience (Blender, Maya, Houdini, Rhino, etc)