
Frontera is reimagining how children with autism and other behavioral health needs get the care they deserve. We bring together world-class clinicians, technologists, and autism specialists to build cutting-edge AI tools that help care teams work smarter and spend more time with the children and families who need them most.
Our platform is HIPAA-compliant and designed for the real-world needs of behavioral health teams - from psychologists to ABA therapists. By combining evidence-based care with powerful technology, we’re expanding access to high-quality services for families everywhere.
Our Mission
Frontera exists to close the care gap: every child, no matter where they live, should be able to access effective behavioral healthcare.
The Role
As a Backend Engineer on the Machine Learning Platform team, you’ll build and maintain the core systems that power Frontera’s AI and ML capabilities—from training pipelines and model inference APIs to video processing and feature stores. You’ll design scalable, reliable pipelines for ingesting, transforming, and serving large-scale datasets used for ML training and prediction. You’ll work closely with ML scientists, data engineers, and product engineers to ensure models can be trained, deployed, and updated efficiently while supporting rapid experimentation and long-term scalability. Your work will directly enable ML-driven features that help care teams work smarter and reach more children.
Responsibilities
Qualifications
Bonus Points
Why Frontera?
Join us in building the future of behavioral healthcare!
Remote - Bogotá; Remote - Medellín