[Remote] Senior Machine Learning Engineer, Applied AI
Note: The job is a remote job and is open to candidates in USA. SimplePractice is dedicated to improving access to quality care by providing health and wellness clinicians with essential tools for private practice. As a Senior Machine Learning Engineer, Applied AI, you will design and build AI-driven product features, collaborating with cross-functional teams to enhance clinician efficiency and patient care.
Responsibilities
• Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
• Work with eng partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions
• Provide AI expert advice to product and eng partners in shaping product roadmap
• Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution
• Communicate timeline, milestones, findings w/ internal stakeholders
• Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
• Champion a culture of experimentation, continuous learning, and proactive problem-solving
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective
Skills
• 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
• Experience with RAG architecture and context/state management for LLMs
• Familiarity with LLM eval tools and human-in-the-loop evaluation process
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with prompt management tool like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains
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)
Company Overview
• Cloud-based Practice Management Software for Health Professionals. It was founded in 2012, and is headquartered in Santa Monica, California, USA, with a workforce of 501-1000 employees. Its website is http://www.simplepractice.com.
Company H1B Sponsorship
• SimplePractice has a track record of offering H1B sponsorships, with 9 in 2025, 9 in 2024, 6 in 2023, 7 in 2022, 3 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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Responsibilities
• Develop AI workflows, customize data pipelines, tune models, and engineer prompts to bring idea to prototype
• Work with subject matter experts to set up evaluation for AI workflows, ensuring rigor, quality and safety of content output
• Work with eng partners to integrate AI workflows into production
• Build and configure AI performance monitoring with proper reporting and alerts
• Optimize and maintain AI workflows for performance, reliability, and long-term scalability
• Start with the Job-to-be-done, dive deep into the domain and understand the problem from user perspective
• Decompose problems into conquerable pieces. Design solutions to address each with cross-disciplinary thinking and big picture in mind
• Conduct exploratory data analysis to answer key questions and test assumptions. Design experiments and build prototypes for proof-of-concept
• Build artifacts to illustrate the findings with rigor and how they inform the roadmap and decisions
• Provide AI expert advice to product and eng partners in shaping product roadmap
• Partner closely with software eng, product, data eng, ML platform teams to scope and plan in execution
• Communicate timeline, milestones, findings w/ internal stakeholders
• Guide less experienced team members, sharing knowledge on LLM workflows and AI/ML model lifecycle
• Champion a culture of experimentation, continuous learning, and proactive problem-solving
• Stay current with emerging ML tools and technologies, integrating new techniques that elevate our product capabilities
• Look for creative ways to leverage data to make clinicians’ lives easier, more efficient, and more effective
Skills
• 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
• Experience with RAG architecture and context/state management for LLMs
• Familiarity with LLM eval tools and human-in-the-loop evaluation process
• Experience with Outerbounds or similar ML orchestration platforms
• Experience with Argo Flows for CI/CD
• Experience with prompt management tool like Langfuse
• Familiarity with Kubernetes for container orchestration
• Background in healthcare, clinical workflows, or regulated domains
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)
Company Overview
• Cloud-based Practice Management Software for Health Professionals. It was founded in 2012, and is headquartered in Santa Monica, California, USA, with a workforce of 501-1000 employees. Its website is http://www.simplepractice.com.
Company H1B Sponsorship
• SimplePractice has a track record of offering H1B sponsorships, with 9 in 2025, 9 in 2024, 6 in 2023, 7 in 2022, 3 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply tot his job
Apply To this Job