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hace 4 semanas
Senior Machine Learning Engineer, Platform (Hybrid)At SimplePractice, 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 SimplePractice to build their business through our industry‑leading software with powerful tools that simplify every part of practice management. 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 by the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech.The RoleOur 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. Working closely with Product, Design, and Engineering, we create solutions that genuinely enhance clinician experiences.As a Senior Machine Learning Engineer, Platform you’ll build tools and systems for AI engineers and developers to innovate rapidly and responsibly. Your day‑to‑day mix blends creative problem‑solving with hands‑on technical work—building robust, scalable, and maintainable systems—while contributing to the technical vision and architecture of the ML Platform.Key ResponsibilitiesDevelop & Deploy ML PlatformBuild end‑to‑end solutions to ensure consistent tooling and governance for LLM/AI feature developmentDesign well‑structured and performant RESTful APIs, including clear endpoints, request/response formats, and error handlingCross‑Functional CollaborationWork closely with Engineering and other stakeholders to develop the platform roadmapCommunicate timelines, milestones, and progress with stakeholdersDrive stakeholder engagement, enablement, and education to integrate the platform into AI development workflowsGuide less experienced team members, sharing knowledge on model development, MLOps, and data engineeringChampion a culture of experimentation, continuous learning, and proactive problem‑solvingStay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilitiesLook for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effectiveDesired Skills & ExperienceBS or higher in Computer Science or a related technical field7+ years of software development experience, ideally on dev tools, with significant Python expertiseExperience with ML/LLM; familiar with the entire model lifecycle from ideation to deploymentProficiency in building data pipelines and tooling for ML feature pipelinesExperience with AWS (or other cloud platforms) for model deploymentComfort working with remote teams using GitHub, Slack, Notion, and ZoomExcellent communication skills in English, with strong collaboration abilityBonus PointsExperience with RAG architecture and other LLM design patternsExperience with Pythonic asynchronous tools like CeleryExposure to outerbounds or similar ML orchestration platformsExperience with Argo Flows for CI/CDFamiliarity with Kubernetes for container orchestrationBenefitsPrivatized Medical, Dental & Vision CoverageWork‑From‑Home stipendFlexible Time Off (FTO), wellbeing days, paid holidays, and Summer FridaysMonthly Meal ReimbursementHybrid Work Schedule & Catered LunchRelocation bonus for candidates moving from another cityEmployee Resource Groups (ERGs)California Job Applicant Privacy NoticeThank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.For more information about our privacy practices, please contact us at privacy@simplepractice.com.Seniority levelMid‑Senior levelEmployment typeFull‑timeJob functionEngineering and Information TechnologyIndustriesSoftware Development #J-18808-Ljbffr
