Amazon Lab126 is looking for an Applied Scientist in wireless to develop and deliver high quality wireless sensing & communication technologies for new consumer electronics, impacting hardware, internal software development, ecosystem, and customer experience.
Requirements
- 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 using Unix/Linux
- Experience in professional software development
- Statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.
- Improve, MAC, and link-layer scheduling algorithms
- Integrate vendor hardware and software stacks
Responsibilities
- Statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings.
- Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products
- Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test by making architecture-cost trade-offs decisions.
- Develop and manage the roadmap, long-term vision and portfolio of new technology initiatives for the team
- Create evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal & external teams to improve the solution with new features.
- Improve, MAC, and link-layer scheduling algorithms
- Integrate vendor hardware and software stacks
Other
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Be responsive, flexible and able to succeed within an open collaborative peer environment and provide technical and scientific guidance to your peers.
- Communicate effectively with senior management as well as with colleagues from science, engineering, and business background
