- Location
- North America/Remote · Vancouver, British Columbia, Canada
- Workplace
- Remote
- Department
- Engineering
- Source
- Greenhouse
Description
What you'll do
- Build and scale our ML data live streaming analytics platform (Python)
- Lead and contribute to greenfield internal projects to extend and optimize existing real time processing needs (Python and/or Rust)
- Design and implement reliability backend services (Python)
What we're looking for
- 4+ years software experience in Python
- Proficiency with live data streaming and real-time analytics, (Kafka/Pulsar/InfluxDB)
- Experience in AWS cloud infrastructure and services
- Experience migrating services to Rust for improved performance and reliability
- Experience with Kubernetes and tools for orchestration
What we provide
- Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision AI
- Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
- Competitive salary and meaningful equity for early team members
- Unlimited vacation days
- Generous health benefits (Health, Vision, Dental)
- 401k for US team members
- Brand new, top of the line hardware and whatever else you need to help you win
Note: We are not considering any recruiters or agency. Please do not contact.
Why bet on Computer Vision and Safari AI?
- Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data
- Already the market leader in enterprise CV by working with industry leaders with billions in revenue
- Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet.
- Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with)
- Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis
- Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale