Senior Machine Learning Engineer, Platform (Hybrid) at SimplePractice

Mexico City, Mexico City, Mexico -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Engineering, Python, MLOps, AWS, RESTful APIs, Collaboration, Mentorship, Data Pipelines, AI Development, Continuous Learning, Problem-Solving, Innovation, Communication, Stakeholder Engagement

Industry

Software Development

Description

About Us 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. From admin work to clinical care, 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 the Digital Health Awards in 2023, SimplePractice is proud to pave the future of health tech. 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, Platform, you’ll be at the forefront of building tools and systems for AI engineers and dev to innovate rapidly and responsibly. Your day-to-day will blend creative problem-solving with hands-on technical work— building systems that're robust, scalable and easy to maintain, as well as working with target users with empathy, contributing to the roadmap exercise of ML Platform. You’ll also play an important role in the technical vision and architecture of the ML Platform and 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. Key Responsibilities Develop & Deploy ML Platform Build end to end solutions to ensure consistent tooling and governance for LLM/AI feature development Ability to design well-structured and performant RESTful APIs, including defining clear endpoints, request/response formats, and error handling. Cross-Functional Collaboration Work closely with Engineering, and other internal stakeholders of ML platform to develop platform roadmap Properly communicate timeline, milestones, and progress w/ internal stakeholders Drive stakeholder engagement, enablement and education to ensure the platform is well integrated into AI dev workflow Mentor & Advocate Best Practices Guide less experienced team members, sharing knowledge on model development, MLOps, and data engineering Champion a culture of experimentation, continuous learning, and proactive problem-solving Drive Innovation 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 Desired Skills & Experience BS or above in Computer Science or a related technical field 7+ years of experience in software development, ideally on dev tools, with Python expertise for a part of your career Have experience with ML/LLM. Familiar with ML model workflow, from ideation, prototyping to deployment Proficiency in building data pipelines and tooling for ML feature pipelines Experience with AWS (or other cloud platforms) for model deployment Comfort working with remote teams, using GitHub, Slack, Notion, and Zoom Proficiency in English with strong communication and collaboration skills Bonus Points Experience with RAG architecture and other LLM design patterns Experience with pythonic asynchronous tools like Celery Exposure to Outerbounds or similar ML orchestration platforms Experience with Argo Flows for CI/CD Familiarity with Kubernetes for container orchestration Benefits We offer a competitive benefits program including: 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) California Job Applicant Privacy Notice Thank 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. #LI-AC1

Responsibilities

Develop and deploy the ML platform by building end-to-end solutions and ensuring consistent tooling for AI feature development. Collaborate with cross-functional teams to drive stakeholder engagement and mentor less experienced team members.