Amazon Sr Applied Scientist ML Amazon Robotics 

United States, Massachusetts 

982685336

Key job responsibilities
- Lead design, adapt, and implement novel machine learning solutions for manipulation robots
- Create hybrid approaches combining classical methods with learning-based solutions
- Design learning algorithms for automated parameter tuning and adaptation
- Build and test prototype robotic workcell setups to validate the performance of the solution
- Document the architecture, performance, and validation of the final systemA day in the life
Day in the Life Section
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 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with conducting research in a corporate setting
- 5+ years of industry or academic research experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with learning-based approaches to robot control
- Familiarity with reinforcement learning for continuous control
- Experience with sim-to-real transfer in robotics applications
- Track record of deploying ML solutions on real robotic platforms
- Strong background in robot dynamics and control