Amazon Sr Applied Scientist Amazon Robotics 

United States, Massachusetts 

732024320

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

- 5+ years of building machine learning models or developing algorithms for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- 3+ years of applied research experience
- Hands on experience with robotics, specifically in the area of manipulation.

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with mobile manipulation