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SimplePractice

Senior Manager of Machine Learning, Applied AI at SimplePractice

SimplePractice Santa Monica, CA

Job Description

About UsAt 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 250000 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 burdenempowering 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 RoleWere seeking a Senior Manager Applied AI to build and lead a high-performing team of senior Machine Learning Engineers focused on empowering clinicians with intelligent reliable and scalable AI-driven product features.In this role youll build and guide a team of experienced ICs who are building next-generation tools that enhance clinician workflows elevate care quality and drive operational efficiency through machine learning. From experimentation and prototyping to scalable deployment your team touches every part of the ML lifecycle. As a manager your leadership will be critical to scaling our impact aligning technical execution with strategic product priorities and fostering a culture of innovation accountability and technical excellence.Key ResponsibilitiesTeam & Technical LeaderrshipLead mentor and grow a team of senior-level ML engineers working on applied AI in production environmentsPartner with ML Platform team to drive technical roadmap development and execution in alignment with product and business goalsEnsure high-quality and timely delivery of advanced data analysis prototypes evaluations and productionized ML workflowsProvide hands-on guidance on LLM workflows evaluation strategies and model lifecycle best practicesCross-Functional Strategy & ExecutionCollaborate closely with Product Design Engineering and ML Platform to define scope success metrics and project plansTranslate complex technical opportunities and risks into clear actionable plans for cross-functional stakeholdersAct as a key advisor on AI capabilities helping to shape our roadmap for AI-enabled clinician toolsInnovation & ImpactChampion a strong experimentation culture grounded in domain understanding user needs and rigorous evaluationEncourage novel applications of LLMs retrieval-augmented generation (RAG) and other emerging techniques to drive valueAdvocate for scalable reliable and safe deployment of ML solutions in real-world clinical contextsOperational ExcellenceOwn team planning capacity management and execution tracking using modern toolsCollaborate with ML platform DevOps and data engineering partners to ensure reliable infrastructure and monitoringDrive adoption of best practices in model versioning prompt tuning performance tracking and incident responseDesired Skills & ExperienceExperience & Expertise8 years of experience in machine learning with at least 3 years managing high-performing technical teamsProven track record of bringing ML prototypes into production in a fast-paced product-focused environmentDeep understanding of LLM workflows including prompt engineering evaluation and deploymentStrong engineering skills with comfort working across the ML/infra stack (Python cloud orchestration tools)Strong research skills with high bar forLeadership & CommunicationAbility to inspire coach and develop senior engineers while setting a high technical barStrong cross-functional communication skills; capable of translating AI complexity into business valueProactive solution-oriented mindset with a bias toward clarity impact and continuous learningTools & TechnologiesProficiency with Python cloud services (AWS preferred) and ML pipeline orchestration (Outerbounds Argo etc.)Familiarity with LLM eval frameworks prompt management tools (e.g. Langfuse) and vector storesExperience leading teams focused on LLMs RAG or other advanced ML architecturesHands-on experience with ML observability CI/CD Kubernetes or similar technologiesBonus PointsBackground in clinical or operational healthcare workflowsBase Compensation Range$233000 - $285000Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.The above represents the expected base compensation range for this job requisition. Ultimately in determining your pay well consider many factors including but not limited to skills experience qualifications geographic location and other job-related factors.BenefitsWe offer a competitive benefits program including:Medical dental vision life & disability insurance401(k) plan with company matchFlexible Time Off (FTO) wellbeing days paid holidays and summer FridaysMental health resourcesPaid parental leave & Backup CareTuition reimbursementEmployee 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 theSimplePractice California Job Applicant Privacy Notice.For more information about our privacy practices please contact us at.Required Experience:Senior Manager Key Skills Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 233000 - 285000

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