SimplePractice · 3 days ago
Senior Machine Learning Engineer, Applied AI
United States
Full-time
Remote
Senior Level
$198K/yr - $241K/yr
5+ years expSimplePractice is dedicated to improving access to quality care for health and wellness clinicians through innovative software solutions. As a Senior Machine Learning Engineer in Applied AI, you will design experiments, build models, and collaborate with teams to enhance product features that support clinicians in providing quality patient care.
Health CareSaaSSoftware
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
Qualification
Required
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
Preferred
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
SimplePractice
Cloud-based Practice Management Software for Health Professionals.
501-1000 employees
H1B Sponsorship
SimplePractice has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (9)
2023 (6)
2022 (7)
2021 (3)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Ralph Zimmermann
Founder | Advisor
Recent News
2025-10-16
2025-08-08
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