Responsibilities
- Integrate advanced machine learning technologies into product offerings to advance health monitoring capabilities
- Design and manage resilient ML infrastructure, including scalable pipelines for data, models, and deployments
- Collaborate with research, firmware, data science, and backend engineering teams to ensure reliable and scalable ML inference
- Optimize resource usage across training and inference to deliver cost-efficient, high-performance ML systems
- Build tooling, microservices, and frameworks that improve workflows for data processing, experimentation, and model deployment
- Operate effectively in a fully remote setting with consistent, transparent communication
Work Arrangement
Remote (Worldwide) — North America, United States, Canada, United Kingdom, Europe, Belgium, France, Germany, Italy, Netherlands, Spain, Sweden, Denmark, Australia
Other
- Every employee receives a Pod of their own
- Full access to health, vision, and dental insurance for employees and dependents
- Supplemental life insurance coverage provided
- Flexible paid time off policy
- Commuter benefits available to support daily travel
- Paid leave for new parents
- Benefits offerings may vary by location
- Employer is an equal opportunity employer focused on diversity and inclusion
