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Key job responsibilities
- Research new ideas and contribute to the vision of our science roadmap.- Monitor, troubleshoot, and continuously improve production in performance.
- Contribute to development of simulation and other forms of offline policy evolution.
- Publish your work at major conferences/journals.
A day in the life
On a typical day in this role you will work to progress your research projects; meet with robotic storage engineering, systems, and solutions stakeholders; brainstorm with other scientists on the team and participate in team processes. You will follow your research projects though the entire life cycle of design, prototype implementation, evaluation, analysis, and you will communicate your findings and results through technical papers and reports. You will collaborate with software development teams to implement your ideas in production software services and design experiments to pilot your algorithms and models in Amazon's robotic warehouses.
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
- Experience programming in Java, C++, Python or related language
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience applying theoretical models in an applied environment
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
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