Senior/Staff Perception Machine Learning Engineer - 3D Tracking

In this role, you will...

• Contribute to the ongoing development of new architecture based on new, state of the art ML research
• Investigate, prototype and train/evaluate networks for solving data association problems ie: track-detection matching, using geometric and embedded features
• Investigate, prototype and train / evaluate networks for solving recursive and / or moving window filtering / estimation problems for non-stationary non-Gaussian noise
• Investigate, prototype and train / evaluate networks for solving dynamic occupancy estimation problems with and without agent/shape assumptions
• Investigate, prototype and train / evaluate networks for solving causal / recursive multi-target multi-modal tracking problem 

Qualifications

• 7+ years of experience with programming and algorithm design
• Fluency in C++ and Python
• Experience with modern computer vision techniques like Transformers
• Experience with tracking techniques like data association and state estimation
• Demonstrated ability to create realtime systems that solve difficult perception tasks
• Strong mathematical skills and understanding of probabilistic techniques

Bonus Qualifications

• Bachelor's, Master's or PhD in computer science, statistics, mathematics or related field
• Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
• Experience with building perception pipelines that work with real data in rapidly changing and uncertain environments.
• Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
• Experience with data representations like pointclouds, meshes, voxel-representation, pixel-domain, etc.
• Experience with nonlinear non Gaussian multi hypotheses tracking
• Experience with weighted nonlinear least square estimation like GTSAM