About the job
About Us
At SimplePractice, we are dedicated to enhancing access to exceptional healthcare by providing health and wellness professionals with the essential tools for success in private practice.
Over 250,000 providers rely on SimplePractice to grow their businesses utilizing our industry-leading software, equipped with powerful tools that streamline every aspect of practice management. Our suite of innovative solutions works cohesively to alleviate administrative burdens, enabling individual and small group practitioners to flourish alongside their clients.
Recognized as the Best Practice Management Solution Provider by MedTech Breakthrough in 2024 and a recipient of the Digital Health Awards in 2023, SimplePractice is proud to lead the future of health technology.
The Role
Join our team committed to empowering clinicians through data-driven innovations. We blend rigorous data science with practical engineering to develop systems that enhance daily workflows, making them more efficient, insightful, and intuitive. If you thrive on solving complex problems and transforming data into impactful outcomes, you will find a supportive and dynamic environment here.
As a Machine Learning Engineer in Applied AI, you will play a pivotal role in creating product features that enable clinicians to work effectively and efficiently, delivering high-quality care to patients. Your responsibilities will include designing experiments, building robust models, tuning prompts, conducting LLM evaluations, and leading projects from ideation to prototyping to production in collaboration with product, engineering, and DevOps teams. Additionally, you will contribute significantly to the roadmap of our ML platform.
We prioritize mentorship, open communication, and exploring the potential of AI within the healthcare sector. Whether you're fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your contributions will directly impact our mission.

