Sr. Python Developer​/Senior Machine Learning Engineer, Platform; Hybrid

Position: Sr. Python Developer / Senior Machine Learning Engineer, Platform (Hybrid)
Location: California

About Simple Practice

At Simple Practice, 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 Simple Practice to build their business through our industry‑leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

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

The Role

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. Our responsibilities span everything from data ingestion and transformation to advanced ML model deployment—ensuring clinicians have the right information at the right time to deliver exceptional care.

We thrive on curiosity, collaboration, and continuous learning. By working closely with Product, Design, and Engineering, we aim to create solutions that genuinely enhance clinician experiences. If you love tackling challenging problems and turning data into meaningful outcomes, you’ll find a welcoming and dynamic environment here.

As a Senior Machine Learning Engineer, Platform, you’ll be at the forefront of building tools and systems for AI engineers and dev to innovate rapidly and responsibly. Your day‑to‑day will blend creative problem‑solving with hands‑on technical work—building systems that’re robust, scalable and easy to maintain, as well as working with target users with empathy, contributing to the roadmap exercise of ML Platform.

You’ll also play an important role in the technical vision and architecture of the ML Platform and have plenty of chances to sharpen and share your expertise. We value mentorship, open communication, and pushing the boundaries of what ML can do in a real‑world healthcare context.

Responsibilities

• Develop & Deploy ML Platform
- Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development
- Ability to design well‑structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling.

• Cross‑Functional Collaboration
- Work closely with Engineering, and other internal stakeholders of ML platform to develop platform roadmap
- Properly communicate timeline, milestones, and progress w/ internal stakeholders
- Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow

• Mentor & Advocate Best Practices
- 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

• Drive Innovation
- 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

Desired Skills & Experience

• BS or above in Computer Science or a related technical field

• 7+ years of experience in software development, ideally on dev tools, with Python expertise for a part of your career

• FastAPI

• Have experience with ML/LLM. Familiar with ML model workflow, from ideation, prototyping 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 Git Hub, Slack, Notion, and Zoom

• Proficiency in English with strong communication and collaboration skills

Bonus Points

• 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…