Senior Machine Learning Engineer

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

We are looking for a highly skilled and versatile Senior Machine Learning Engineer to join our team and play a key role in architecting, developing, and scaling our AI and ML capabilities. You will lead the development of core systems, including our chatbot and other ML-powered products, while collaborating closely with clinicians, product managers, and engineers to solve complex real-world problems in pediatric behavioral healthcare.

Responsibilities

• Lead the design, development, and deployment of ML/AI-powered systems, including chatbots, workflows, and backend infrastructure.
• Collaborate with ML researchers, product managers, and subject matter experts to translate prototypes into production-ready solutions.
• Build, maintain, and optimize scalable data pipelines, model training frameworks, and workflow orchestration systems (e.g., Temporal, Airflow, Vellum).
• Contribute to API/schema design, backend development (Python/Django), and web programming as needed.
• Troubleshoot and resolve complex technical problems across distributed systems and ML pipelines.
• Mentor junior engineers and help define best practices for engineering and ML operations within the team.
• Adapt to evolving project requirements in a fast-paced, early-stage startup environment.

Qualifications

• 8+ years of experience in software engineering, with strong backend and web development experience.
• Proven expertise in Python, web frameworks (e.g., Django), GraphQL, workflow orchestration tools (e.g., Temporal, Airflow), and API/schema design.
• Hands-on experience with ML pipelines, model training frameworks, and cloud infrastructure.
• Experience working cross-functionally with product, engineering, and domain experts.
• Strong debugging skills and ability to tackle hard technical problems.
• Early-stage startup experience preferred, with flexibility, scrappiness, and willingness to pivot.
• Excellent communication, mentoring, and collaboration skills.
• Experience with LLMs, RAG frameworks, chatbots, or generative AI is a plus.

We have determined a salary range for this position that takes into account several factors including experience, knowledge, education, skills, and abilities. Please note that the salary information is a general guideline and the exact salary will be determined based on the individual’s qualifications and experience, with consideration given to the factors listed above. All full time employee benefits include a stake in shared success through stock options, health benefits, 401(k) plan, and responsible PTO.

Expected salary range in Denver $180,000—$220,000 USD

Why Frontera?

• Opportunity to be at the forefront of innovation in pediatric healthcare.
• Work on challenging and impactful projects that leverage cutting-edge technologies.
• Collaborate with a talented and passionate team in a fast-paced and dynamic environment.
• Make a real difference in the lives of children and families in rural communities.
• Competitive salary and benefits package.

Join us in building the future of behavioral healthcare!