Signal Processing Engineer
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Firmware, and Data Science. You will work on the core, fundamental features at WHOOP. This role will be tasked with solving the incredibly difficult technical problem of obtaining physiological information from noisy sensor data, as well as enhancing diagnostic tools and control methodologies.
RESPONSIBILITIES:
- Develop innovative and creative algorithms to improve the performance
- Cooperate in research and explore new features
- Participate in software development, debugging, and validation in order to ensure code and results are production-ready
- Create mathematical modeling, build, train and test machine learning models for big data
- Work closely with Data Science and Research teams to enhance the user’s metrics
- Monitor members’ experience, ensuring that all algorithms work properly across our diverse user population
- Identifying issues related to data and data quality
QUALIFICATIONS:
- Master’s degree in electrical engineering, biomedical engineering, or related field
- 2+ years of industry or research experience in signal processing and/or machine learning
- Experience with biosensor systems and analyzing biomedical data
- Expertise in C and/or Python
- Knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, etc.
- DSP experience with demonstrated performance creating new algorithms
- Strong oral and written interpersonal skills
- Innovative, knowledgeable, and able to adapt to changing requirements while still producing quality algorithms with tight deadlines
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.