Amazon Applied Scientist II Amazon Robotics 

United States, Massachusetts 

477568184

Key job responsibilities
Specific areas of focus may include (but are not limited too):* Scene perception fusing multiple sensing modalities, simultaneously detecting and tracking many 3D objects in spatially complex and time-varying workspaces.
* Visual servoing and impedance (force) based control to achieve the highest levels of spatial precision.
* Experimenting and evaluating new sensors and new mechanical embodiment designs.
* High-level task planning for long-running and ambiguous automation roles with broad exception paths.
* Whole-body motion planning with tiered levels of dynamic fidelity and time horizons to trade off performance, completeness, and computational complexity.
* Localization challenges in new and unstructured environments.
* Developing machine-learning capabilities and infrastructure for robotic perception and motion - integrating the latest vision language action models to expand generalizability beyond the state of the art.
* Optimizing runtime performance of robotic algorithms by exploiting underlying hardware acceleration capabilities.
* Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data.
* Building frameworks to monitor and manage resource utilization on embedded compute platform.
* Building visualization tools for analyzing and debugging robot behavior.A day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience/understanding in any of the following areas: Deep Learning, Generative AI, Robotics (Perception, Planning, Control)

- Knowledge of standard speech and machine learning techniques
- Experience using Unix/Linux
- Experience in professional software development