- Master /Ph.D. in Engineering, Statistics, quantitative degree and/or relevant experience.
- Strong background in signal processing, pattern matching algorithms, optimization algorithms, machine learning.
- Proven experiences (2+ years) and the ability to solve signal processing and machine learning problems and implement practical solutions.
- Experience working with sensor data from various kinds of IoT and wearable devices.
- Proficiency in Python, Matlab, and C
- Excellent interpersonal and communication skills and the desire to work in a dynamic and collaborative environment
- Collaborative, self-motivated, fast learner that comfortable working in a dynamic environment tackling challenging problems
- Deep knowledge of end-to-end algorithms development and performance reporting.
- Detail-oriented and take a thorough and analytical approach, producing complete documentation
- Passionate about signal processing, machine learning, and AI.