Amazon Sr Applied Scientist Sensor Algorithms 

United States, California, Sunnyvale 

70721698

The ideal candidate combines strong theoretical foundations in machine learning and signal processing with practical implementation skills. You'll develop state-of-the-art sensor algorithms from concept to production, translate complex research problems into practical consumer technologies, and create solutions optimized for diverse hardware platforms.Key job responsibilities
- Conduct thorough data analysis to identify trends, patterns, and insights that drive product innovation and improvement.- Present findings and recommendations to stakeholders, influencing product strategy and decision-making.- Mentor and guide junior scientists and engineers, fostering a culture of learning and innovation.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience with neural deep learning methods and machine learning
- Experience with C/C++ and Python programming

- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience with conducting research in a corporate setting
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience with Digital Signal Processing (DSP) algorithm design.