Applied Scientist, Navigation
Tasks
- Collaborate with cross functional teams to deliver perception capabilities
- Conduct technical discussions to address model limitations
- Contribute to research brainstorming and knowledge sharing
- Define and track perception performance metrics
- Design perception algorithms for robotics
- Document post deployment model limitations
- Lead computer vision sensor fusion and 3D perception research
- Own ML model lifecycle from data collection to deployment
- Publish research in top venues and contribute to patents
- Train ML models for simulation and real world robots
- Train and mentor junior scientists and engineers
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
3D Perception | Artificial Intelligence | C++ | Computer Vision | Depth Estimation | Diffusion Models | Formal verification | Foundation Models | Gazebo | Imitation Learning | Isaac Sim | JAX | Java | Language Models | Large Pretrained Models | Localization | MPC | Machine Learning | Mapping | Model Predictive | Model-Predictive Control | Motion Planning | Mujoco | Neural Motion Planning | Object Detection | Optimization | Predictive control | Pretrained models | PyTorch | Python | ROS | ROS2 | Reinforcement Learning | Robotics | SLAM | Scene Understanding | Segmentation | Sensor fusion | Sim-to-Real | Simulation | Tracking | Trajectory Planning | Vision Language Models | Vision-language | World Models
Education
Roles
Regions
Countries
States
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