Senior Machine Learning Engineer, Applied AI

July 29

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SimplePractice

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Healthcare Insurance • SaaS

SimplePractice is an all-in-one practice management software platform tailored for behavioral health professionals. It simplifies administrative tasks, ranging from scheduling and billing to documentation, and enhances client care through integrated telehealth, insurance tools, and a vast template library. Trusted by over 200,000 practitioners, SimplePractice is designed for therapists, speech-language pathologists, occupational therapists, and psychiatrists, among others. It aims to streamline admin work and improve care management for practitioners, ultimately facilitating better client interactions and practice growth.

201 - 500 employees

Founded 2012

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• About Us • At SimplePractice, our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start, grow, and maintain a successful private practice. • 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. 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, Applied AI, you’ll be at the forefront of building product features that help clinicians work effectively and efficiently, providing quality care to patients. You’ll be designing experiments, building robust models, tuning prompts, implementing LLM evals, and driving projects from idea to prototype to production with product, engineering and devOps teams. You’ll also play an important role in the roadmapping exercises of our ML platform. • We value mentorship, open communication, and pushing the boundaries of what AI can do in a real-world healthcare context. Whether you’re fine-tuning a model, presenting insights to stakeholders, or brainstorming new product features, your work will have a direct and meaningful impact.

🎯 Requirements

• BS or above in Computer Science, Statistics or a related technical field • 5+ years of experience in Machine Learning, with proven track record of bringing ideas to life, from prototype to productized features • Strong proficiency in Python and hands-on with advanced data analysis tools • Strong skills in data engineering and self-sufficient in data pipelines for the AI workflow • Experience with AWS (or other cloud platforms) for model deployment • Comfortable designing and evaluating LLM-driven workflows • Familiarity with retrieval pipelines and vector databases • Problem-oriented mindset with strong cross-disciplinary thinking and a bias toward simplicity and clarity in solving problems • Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom • Proficiency in English with strong communication and collaboration skill

🏖️ Benefits

• Medical, dental, vision, life & disability insurance • 401(k) plan with company match • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays • Mental health resources • Paid parental leave & Backup Care • Tuition reimbursement • Employee Resource Groups (ERGs)