Sr. Applied Scientist, Fauna Robotics
Amazon Science · Sunnyvale, CA · 4 days ago
Information TechnologyFull-time
About the role
We are seeking an Applied Scientist to focus on Robotics Localization, Mapping, and Geometric Reconstruction. In this role, you'll research and build advanced SLAM and World Reconstruction algorithms that enable robots to know its pose in the world and fulfill various tasks in complex and dynamic home environments. You'll work across a broad spectrum of visual inertial odometry, 3D pose estimation, mapping, and geometric reconstruction problems to build robust solutions that support autonomous decision making, task planning, navigation, and manipulation.
Responsibilities
- Develop and implement robust robot state estimation, pose estimation, mapping, and reconstruction algorithms.
- Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of our spatial intelligence stack.
- Lead scientific and technical projects across the spatial intelligence team.
- Collaborate with navigation, manipulation, and other teams to ensure seamless integration of localization, tracking, and mapping capabilities.
- Mentor junior scientists and engineers to solve real-world robotics problems.
Requirements
- PhD, or Master's degree and 6+ years of applied research experience
- Experience leading technical initiatives and key deliverables
- 6+ years of building Localization and Mapping algorithms experience
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
Qualifications
- Experience programming in Python, C++, or related language
- Hands-on experience with modern solutions in the field of Localization, Mapping, and reconstruction such as Gaussian Splatting, Foundation Models (e.g. VGGT), etc.
- History of impactful first-author publications at major journals or conferences
- Experience bridging research with practical engineering implementation in robotics systems
Skills
- Strong background in robotics, computer vision, and machine learning
- Experience with SLAM, mapping, and geometric reconstruction techniques
- Ability to work independently and collaboratively in a fast-paced environment
Benefits
- Comprehensive benefits including medical, dental, vision, prescription, life insurance, AD&D, EAP, mental health support, and flexible spending accounts
- 401(k) matching
- Paid time off
- Parental leave
Pay
The base salary range for this position is $192,200.00 - $260,000.00 annually.
Schedule
Full-time position.