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Senior Machine Learning Engineer

Frontera

$180,000 - $220,000
Dec 12, 2025
Denver, CO, US
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Frontera is looking to close the care gap in pediatric behavioral healthcare by developing cutting-edge AI tools to help care teams work smarter and spend more time with children and families who need them most.

Requirements

  • 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.
  • Experience with LLMs, RAG frameworks, chatbots, or generative AI is a plus.
  • 8+ years of experience in software engineering, with strong backend and web development experience.
  • Experience with backend development (Python/Django)

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.

Other

  • Excellent communication, mentoring, and collaboration skills.
  • Early-stage startup experience preferred, with flexibility, scrappiness, and willingness to pivot.
  • Competitive salary and benefits package.
  • Opportunity to be at the forefront of innovation in pediatric healthcare.
  • Work on challenging and impactful projects that leverage cutting-edge technologies.