Full Stack Developer

• Architecture & Development: Design and implement machine learning systems and traditional full stack software capabilities
• Integration: Deploy and integrate ML models into workflows, managing data pipelines and cloud/bare-metal infrastructure
• Full Stack Execution: Build and maintain both backend services and frontend components to ensure a cohesive user experience
• Collaboration: Partner with technical and non-technical stakeholders (Sales, Marketing, Product) to define and deliver business-critical solutions
• Optimization: Troubleshoot deployed models and software to improve efficiency, performance, and scalability

• Must be legally authorized to work in Canada and able to commute to downtown Vancouver
• Proven experience working with and deploying ML models within a software ecosystem
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and an interest in working with bare-metal/Hyperstack environments
• Expert proficiency in Python and experience with SQL/Databases
• Strong experience building and consuming RESTful APIs
• Expert knowledge of Git/GitHub, specifically managing complex repositories and utilizing GitHub Actions/Secrets
• Experience in frontend development and a willingness to handle "regular" full stack tasks outside of ML-specific work
• A self-motivated "thinker" who enjoys solving complex problems independently while collaborating effectively in a small team

• Tech Enthusiast: You follow tech news, stay current with industry trends, and are comfortable in a deep-tech/startup culture
• Driven by Quality: This is a high-impact role (both for our company and for patient care). It will require attention to detail, learning and understanding new concepts, and a strong dedication to quality
• Specialized ML: Domain-specific experience in Computer Vision, Generative AI, or CNNs
• Background: Previous experience in a ML/AI Engineer adjacent role
• DevOps: Experience with Docker for containerization and deployment
• Education: Degree in Computer Science, Engineering, or a related quantitative field
• Healthcare AI experience
• Familiarity with medical imaging and pathology
• Strong leadership qualities for guiding teams
• Project management skills
• A willingness to adapt and learn
• Effective communication across diverse backgrounds
• Good code documentation practice and organization

equity/ stock options