Senior Computer Vision/Machine Learning Engineer

MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
BS in Computer Science, Machine Learning, Electrical Engineering, or related field
4+ years experience developing and benchmarking ML algorithms on large-scale datasets
High proficiency in C++ development in a Linux environment
Experience deploying models with TensorRT and ONNX
Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow
Experience writing and maintaining automated continuous integration tests
Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection
Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion
Eligible to obtain and maintain an active U.S. Secret security clearance

Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
Develop and maintain core libraries and runtime applications
Integrate classical and geometric methods in computer vision with ML methods
Work with ML and Data Infra team to construct various benchmarks for analyzing system performance