Senior Machine Learning Engineer, Platform (Hybrid)

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry‑leading software with powerful tools that simplify every part of practice management. Our suite of innovative solutions work together to reduce administrative burden—empowering solo and small‑group practitioners to thrive alongside their clients.

Recognized by MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and by the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech.

Our team is dedicated to empowering clinicians through data‑driven innovations. We combine rigorous data science with practical engineering to build systems that make daily workflows more efficient, insightful, and intuitive. Working closely with Product, Design, and Engineering, we create solutions that genuinely enhance clinician experiences.

As a Senior Machine Learning Engineer, Platform you’ll build tools and systems for AI engineers and developers to innovate rapidly and responsibly. Your day‑to‑day mix blends creative problem‑solving with hands‑on technical work—building robust, scalable, and maintainable systems—while contributing to the technical vision and architecture of the ML Platform.

• Develop & Deploy ML Platform
  • Build end‑to‑end solutions to ensure consistent tooling and governance for LLM/AI feature development
  • Design well‑structured and performant RESTful APIs, including clear endpoints, request/response formats, and error handling
• Cross‑Functional Collaboration
  • Work closely with Engineering and other stakeholders to develop the platform roadmap
  • Communicate timelines, milestones, and progress with stakeholders
  • Drive stakeholder engagement, enablement, and education to integrate the platform into AI development workflows
• Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering
• Champion a culture of experimentation, continuous learning, and proactive problem‑solving
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective

• BS or higher in Computer Science or a related technical field
• 7+ years of software development experience, ideally on dev tools, with significant Python expertise
• Experience with ML/LLM; familiar with the entire model lifecycle from ideation to deployment
• Proficiency in building data pipelines and tooling for ML feature pipelines
• Experience with AWS (or other cloud platforms) for model deployment
• Comfort working with remote teams using GitHub, Slack, Notion, and Zoom
• Excellent communication skills in English, with strong collaboration ability

• Experience with RAG architecture and other LLM design patterns
• Experience with Pythonic asynchronous tools like Celery
• Exposure to outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Familiarity with Kubernetes for container orchestration

• Privatized Medical, Dental & Vision Coverage
• Work‑From‑Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Hybrid Work Schedule & Catered Lunch
• Relocation bonus for candidates moving from another city
• Employee Resource Groups (ERGs)

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

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Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development