Senior Machine Learning Engineer, Platform (hybrid)

Senior Machine Learning Engineer, Platform (hybrid)

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At SimplePractice, we are improving access to quality care by equipping health and 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. 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 MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and the Digital Health Awards in 2023, SimplePractice 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.

Key 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

Desired Skills & Experience

Bonus Points

We offer a competitive benefits program including :

Polanco, Mexico City, Mexico

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