If doing things nobody's done before is a challenge you want to take on, we would love to hear from you. Powered by AI and IoT, CardioBird is the world’s first one-stop heart diagnostic and monitoring service platform for animal. We need your help in the making of the “Internet of Pets” and also extend our technology solution to different areas other than pet. We are looking for a talented and creative algorithm and data science expert to join our data science team. This is a challenging position offering the opportunity to work with leading edge AI and sensor technologies embedded in IoT and wearables devices.

Job Description
- Specialize in the application of signal processing and machine learning techniques to design, develop, and implement preprocessing modules, biometrics algorithms, and AI engines using various forms of sensor data.
- Be capable of designing experiments to acquire data sets for training and validation of hypotheses and models, as well as support pilot trials at customer facilities to test our algorithms in the field
- Explore optimal algorithm designs to fit in the limits offered by the resources of the embedded system
- Working with other team members to assemble and test the algorithm integrates with device firmware, coordinating work with members of the team.
- Patent the inventions and improvements of the technology. Contribute to our algorithm IP portfolio.
- Investigating emerging and new areas that fit our AI-powered sensing solution.

- 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.