SaaS Engineer, Productivity and Collaboration
Dropbox
AWSPython
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- Develop and validate health sensing signal-processing and machine learning algorithms for Oura features
- Build end-to-end ML solutions from preprocessing to model training and evaluation focusing on scalability, generalizability, and physiological accuracy
- Design and support internal and external data collection studies to develop, evaluate, and benchmark algorithms
- Develop and maintain reusable data analytics tools deployable at scale
- Document, summarize, and present data analysis and algorithm performance with actionable recommendations
- Coordinate with cross-functional teams and overseas stakeholders
Requirements
- 5+ years of experience in ML and biosignal processing, particularly with PPG and wearable sensor data
- Solid programming skills in Python and experience with code collaboration tools (git, peer review)
- Experience with C/C++ is a plus
- Proven ability to translate results into production-ready features
- Advanced degree (Master’s or PhD) in biomedical engineering, electrical engineering, machine learning, or related field, or equivalent practical experience
- Strong understanding of physiological systems and engineering intuition for noisy data
- Clear communication with technical and non-technical audiences and cross-functional collaboration
