Research Engineer- Algorithms

This role is for a research engineer with expertise in the areas of signal processing and machine learning, targeted at sensor-driven algorithms and features. For example, the candidate may be asked to develop solutions around topics such as activity recognition, heart rate estimation, step counting, disease detection, etc. The candidate should be proficient in developing signal processing and machine learning algorithms, and implementing these in production systems, which may include low-power/embedded platforms. Some background in the analysis of physiological or biomedical signals is also strongly desired.

The responsibilities of a research engineer are to:

Apply skills in signal processing and machine learning to build intelligent features for our users
Develop algorithms using data from new and existing sensor streams
Manage data collection by designing experiments or leveraging existing data sources
Test and validate your algorithms in both the lab and the field
Work with engineering teams to implement algorithms in production firmware and backend code
Work with product and UX teams to define product specifications and design.

Qualifications

Must Have

A masters or PhD in electrical engineering, computer science, applied physics or a related field.
2+ year industry experience demonstrating performance in the areas of signal processing and machine learning
Strong programming expertise (Python, C, SQL)
Experience in design of experiments to collect physiological data
Motivated, independent, efficient and able to handle several projects
Friendly, articulate, and interested in working in a fun, small team environment

Desired

Knowledge of embedded processing
Experience with modern machine learning techniques like deep learning, and tools like TensorFlow
Prior experience working with product managers, designers, and software developers
Experience in regulated medical software products