About the Role
The position involves designing, implementing, and optimizing AI systems that operate in critical scenarios. The candidate will work closely with cross-functional teams to ensure models are robust, scalable, and integrated effectively into production environments.
Responsibilities
- Design and build machine learning models for real-time decision support
- Deploy AI systems in production with a focus on reliability and performance
- Collaborate with researchers to transition prototypes into scalable solutions
- Monitor and improve model behavior in live environments
- Work with clinical and technical stakeholders to define system requirements
- Optimize inference pipelines for low-latency applications
- Ensure compliance with data privacy and regulatory standards
- Conduct code reviews and maintain high software quality standards
- Troubleshoot and resolve issues in deployed AI systems
- Contribute to architectural decisions for AI infrastructure
- Implement testing frameworks for model validation
- Support integration with existing healthcare technologies
- Participate in incident response for critical system alerts
- Document technical designs and system workflows
- Stay current with advancements in AI and relevant medical domains
- Mentor junior engineers on best practices in AI development
- Evaluate new tools and libraries for potential adoption
- Collaborate on data curation and annotation pipelines
- Improve model interpretability for end-user trust
- Contribute to ethical AI guidelines and deployment policies
- Work within agile development cycles
- Ensure systems meet accessibility and usability standards
- Support reproducibility in model training and evaluation
- Engage in cross-team knowledge sharing
- Drive improvements in system observability and monitoring
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexibility for remote and office-based work
Team
Collaborative engineering and research team focused on real-world AI deployment
About the Role
This position is central to advancing AI technologies that assist professionals in urgent care settings. The engineer will focus on creating systems that process real-time audio and data to provide actionable insights during emergencies.
Impact
Work on technology used in emergency response systems worldwide, contributing to faster and more accurate medical decisions through AI assistance.
Available for qualified candidates requiring work authorization
