Equip Health is hiring a Senior ML/AI Engineer

Equip Health is seeking a Senior ML/AI Engineer to design, build, and productize data-driven solutions using machine learning and AI. This role will implement models to solve complex challenges and create a positive impact across our business domains, including Product and Clinical Operations.

What You'll Do

• Architect and lead end-to-end ML/AI pipelines—including training, fine-tuning, experimentation, and deployment—setting technical standards.
• Design and own CI/CD pipelines for ML/AI workflows, including automated testing, model versioning, and continuous delivery.
• Build and maintain scalable ML/AI infrastructure on cloud platforms.
• Develop monitoring and observability frameworks to track model performance, data drift, and system health in production.
• Develop tools and processes that leverage ML/AI to enhance user experience and extract insights from large datasets.
• Research state-of-the-art ML/AI advancements and translate them into production-ready systems.
• Design, build, and maintain APIs for exposing ML/AI models and data services.
• Mentor junior and mid-level data scientists and engineers, conducting code reviews and driving engineering best practices.
• Collaborate with cross-functional stakeholders to scope, prioritize, and deliver high-impact ML/AI solutions.

What We're Looking For

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 5+ years of experience developing, deploying, monitoring, and iterating on production-level ML/AI models and pipelines at scale.
• Solid knowledge of mathematics and statistics underpinning ML methods and model evaluation.
• Experience with large language models and applied NLP on unstructured text data, including fine-tuning and deployment of LLM-based systems.
• Strong programming skills in Python, Python-based ML frameworks, and SQL.
• Deep understanding of MLOps principles: deployment, model versioning, experiment tracking, automated retraining, and observability.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and ML platform tooling (e.g., SageMaker, MLflow, Kubeflow).
• Experience designing, building, and consuming APIs, including best practices around versioning and authentication.
• Solid foundation in software engineering principles—writing clean, maintainable, testable, and well-documented code.
• Proficiency with Git/GitHub, including branching strategies and code review workflows.
• Demonstrated ability to lead technical projects, influence architectural decisions, and communicate effectively with cross-functional teams.
• Comfortable driving results in a fast-paced, rapidly evolving environment.

Technical Stack

• Python, Python-based ML frameworks, SQL
• AWS/GCP/Azure
• SageMaker/MLflow/Kubeflow
• Git/GitHub

Team & Environment

You'll be part of the Data and Insights team, collaborating with data scientists, analysts, engineers, and product managers.

Benefits & Compensation

• Compensation: $157.5K - $175K
• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
• Competitive Medical, Dental, Vision, Life, and AD&D insurance with Equip paying a significant percentage of premiums.
• Company-paid Maven reproductive and family care benefit.
• Company-paid Employee Assistance Program (EAP) for mental health, legal services, and financial support.
• $50/month stipend for home internet expenses.
• One-time work from home stipend of up to $500.

Work Mode

This is a fully virtual position open to candidates in the US.

Equip Health is an equal opportunity employer, providing equal opportunity in all aspects of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, or any other legally protected classification.