Build the Future of Cardiac AI That Saves Lives

Us2.ai is revolutionizing cardiac care by automating heart disease detection using cutting-edge Artificial Intelligence (AI). Our platform processes thousands of echocardiograms at scale, delivering critical patient insights that help doctors save lives everyday.

We’re experiencing rapid growth and need exceptional AI engineers who are passionate about pushing the boundaries of computer vision and machine learning in healthcare. This is your opportunity to develop state-of-the-art AI models that will scale to serve millions of patients worldwide.

What Makes This Role Special

• Cutting-edge AI development: Work with the latest computer vision architectures for medical imaging analysis and segmentation
• Mission-driven innovation: Every model you build and deploy directly contributes to better patient outcomes and faster diagnoses
• Scale & impact: Build AI systems that will process millions of echocardiograms and impact global cardiac care
• Research to production: Bridge the gap between academic research and real-world healthcare applications
• Technical leadership: Shape our AI architecture and influence the direction of our machine learning initiatives
• Rapid iteration: Fast-paced environment where your models go from concept to production quickly

Responsibilities

AI Engineering & Infrastructure

• Build and maintain ML infrastructure and tooling to support our data science team’s model development
• Develop robust data pipelines for training, validation, and continuous model improvement workflows
• Create automated testing frameworks for model validation and performance monitoring
• Optimize model performance for inference speed, memory usage, and scalability in production
• Support data scientists with engineering tools and frameworks that accelerate their research and experimentation

Deployment & Production Systems

• Deploy AI models to production with robust monitoring, logging, and performance tracking systems
• Collaborate with engineering teams to integrate AI capabilities into broader system architectures
• Implement comprehensive MLOps practices for model versioning, testing, automated deployment, and rollback procedures
• Build scalable inference systems that can handle high-volume medical imaging workloads with consistent performance
• Ensure model reliability and maintain high uptime for critical healthcare applications
• Create deployment automation that enables data scientists to easily promote models from development to production

Innovation & Improvement

• Stay current with AI trends and evaluate new techniques for potential integration
• Suggest improvements to existing systems and workflows based on latest research
• Participate in research initiatives and potentially contribute to academic publications
• Mentor junior engineers and contribute to building our AI team culture
• Collaborate with clinical partners to understand domain requirements and validate model performance

What We’re Looking For

Must-Have Technical Skills

• BS/MS/Ph.D. in Computer Science/Software Engineering or related disciplines with focus on machine learning / AI
• Deep expertise in computer vision with proven experience in image classification and segmentation
• Strong Python proficiency for ML development, data processing, and system integration
• Experience with AI frameworks such as TensorFlow, Keras, and PyTorch
• Problem-solving mindset with ability to debug complex, distributed ML systems

Preferred Technical Experience

• LLM integration experience for production healthcare applications
• Infrastructure as Code knowledge (Terraform, OpenTofu) for ML deployment
• NoSQL databases (MongoDB preferred) for handling large-scale medical data
• FastAPI experience for building ML model APIs and services
• Docker experience for containerizing and deploying ML models
• Medical imaging standards (DICOM) and healthcare data handling

AI Engineer Qualities

• Ownership mentality with drive to improve ML systems and processes from research to production
• Excellent communication skills for collaborating with clinical teams and explaining complex AI concepts
• Adaptability to learn new technologies and stay current with rapidly evolving AI landscape
• Growth mindset excited about building groundbreaking AI solutions from the ground up
• Independent and self-motivated with ability to work autonomously on complex problems
• Quality-focused with attention to detail crucial for healthcare applications

Why Join Us2.ai

• Meaningful mission: Your AI models directly impact patient care and help doctors save lives through faster, more accurate diagnoses
• Rapid growth: Join us during an exciting scaling phase where your AI innovations will be highly visible and impactful
• Build something revolutionary: Help establish the AI capabilities that will transform cardiac care globally
• Cutting-edge technology: Work with the latest in computer vision, deep learning, and medical AI
• Global impact: Deploy AI models that will be used by healthcare providers worldwide
• Fast-paced environment: Quick iteration cycles, direct access to leadership, and immediate impact on product capabilities
• Fully remote: Work from anywhere while collaborating with our global team – we’ve been remote-first from day one
• Research opportunities: Potential for academic collaboration and contributing to the broader AI research community

Ready to Revolutionize Cardiac Care with AI?

If you’re passionate about applying cutting-edge AI to solve real-world healthcare challenges, love pushing the boundaries of computer vision, and want to make a lasting impact on global health, we’d love to hear from you. This role offers the unique opportunity to combine technical excellence with meaningful healthcare impact while building revolutionary AI solutions.

Apply now! If this is something that matches your profile and interests you, please send your resume to careers@us2.ai