Senior Machine Learning Engineer

March 18

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Logo of SimplePractice

SimplePractice

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.

ehr • therapy notes • online appointment scheduling • insurance billing • practice documentation

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. • 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, you’ll be at the forefront of using data to shape and optimize clinician workflows. • Your day-to-day will blend creative problem-solving with hands-on technical work—designing experiments, building robust models, and collaborating with cross-functional teams to bring new ideas to life. • You’ll be instrumental in guiding data initiatives that drive our product roadmap, helping us create intuitive features and tools that clinicians rely on every day. • You’ll also 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. • 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

• Proficiency in Python (NumPy, Pandas, scikit-learn) • Strong skills in SQL (window functions, advanced queries) • Hands-on experience with DBT for data transformation • Familiarity with Snowflake or similar data warehouses • Experience with AWS (or other cloud platforms) for model deployment • Exposure to Outerbounds or similar ML orchestration platforms • Experience with Argo Flows for CI/CD • Familiarity with Kubernetes for container orchestration

🏖️ Benefits

• Privatized Medical, Dental & Vision Coverage • Work From Home stipend • Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays • Monthly Meal Reimbursement • Holiday Bonus, 15-day Aguinaldo • Hybrid Work Schedule & Catered Lunch • A relocation bonus for candidates joining us from a different city • Employee Resource Groups (ERGs)

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