Senior Applied Scientist
Tasks
- Collaborate with cross functional teams to define perception capabilities
- Define and track key metrics for perception system performance
- Design develop and deploy perception algorithms for robotics systems
- Drive end to end ownership of machine learning models from data collection and labeling to deployment
- Drive technical discussions with stakeholders to address limitations
- Identify and document model limitations post deployment
- Lead research initiatives in computer vision sensor fusion and 3D perception
- Mentor junior scientists and engineers
- Publish research findings and contribute to patents
- Train machine learning models for simulation and real world robots
Perks/Benefits
- 401k matching
- Adoption reimbursement
- Dental insurance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Life insurance
- Mental health support
- Paid time off
- Parental leave
- Surrogacy reimbursement
- Vision insurance
Skills/Tech-stack
3D Perception | C++ | Cloud processing | Computer Vision | Data Pipelines | Deep learning | Depth Estimation | Distributed Training | Image Segmentation | Java | Language Models | Language Processing | Large Scale Data | Large-scale | Large-scale Data Pipelines | Localization | Machine Learning | Mapping | Natural Language | Natural Language Processing | Object Detection | Object Tracking | Open3D | PCL | Point Cloud | Point Cloud Processing | PyTorch | Python | ROS | ROS2 | Robotics middleware | SLAM | Scene Understanding | Sensor fusion | Simulation | TensorFlow | Vision Language Models | Vision-language
Education
Regions
Countries
States
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