Senior ML/AI Engineer

Equip Health

22h • Remote

About The Position

The Senior Machine Learning/AI (ML/AI) Engineer will be responsible for designing, building, evaluating, productizing, and refining data-driven products and insights using ML and AI solutions (e.g. large language models). This role will implement ML/AI models to solve complex projects and create a positive impact across all our business domains, including Product, Clinical Operations, Commercial, and more. The Senior ML/AI Engineer is an analytical thinker, effective communicator and collaborator, is detail oriented, and works comfortably in fast-paced environments. As part of the Data and Insights team, the Senior ML Engineer will collaborate with a diverse group of data scientists, analysts, engineers, and product managers to work on exciting projects and contribute to the growth of Equip.

Requirements

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Operations Research, Engineering, or a related quantitative field.
• 5+ years of demonstrated experience developing, training, evaluating, 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 (e.g., OpenAI) 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 production 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, authentication, and performance at scale.
• 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 diverse, cross-functional teams.
• Comfortable driving results in a fast-paced, rapidly evolving environment.

Responsibilities

• Architect and lead end-to-end ML/AI pipelines — including training, fine-tuning, experimentation, and deployment — setting technical standards across the team.
• Design and own CI/CD pipelines for ML/AI workflows, including automated testing, model versioning, and continuous delivery to production environments.
• 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, extract insights from large datasets, and increase operational efficiency.
• 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 to internal and external consumers.
• Mentor junior and mid-level data scientists and engineers, conducting code reviews and driving engineering best practices across the ML organization.
• Collaborate with cross-functional stakeholders to scope, prioritize, and deliver high-impact ML/AI solutions.
• Perform other duties as assigned.

Benefits

• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.
• Competitive Medical, Dental, Vision, Life, and AD&D insurance.
• Equip pays for a significant percentage of benefits premiums for individuals and families.
• Maven, a company paid reproductive and family care benefit for all employees.
• Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!
• $50/month stipend added directly to an employee’s paycheck to cover home internet expenses.
• One-time work from home stipend of up to $500.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level