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Senior Machine Learning Engineer
Senior Machine Learning EngineerFrontera Health • Denver, Colorado, United States
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Frontera Health • Denver, Colorado, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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!

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