Equip Health

Compensation

Full Description

About Equip Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health. Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture. Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families. About the role 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. 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. Qualifications 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. Benefits Time Off: Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays. Medical Benefits: 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! Other Benefits Work From Home Additional Perks: $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. Physical Demands Work is performed 100% from home with limited travel for team meetings. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed. At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip. As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law. Our dedication to equitable access, which is core to our mission, extends to how we build our "village." In line with our commitment to Diversity, Equity, Inclusion, and Belonging (DEIB), we are dedicated to an accessible hiring process where all candidates feel a true sense of belonging. If you require a reasonable accommodation to complete your application, interview, or perform the essential functions of a role, we invite you to reach out to our People team at accommodations@equip.health. #LI-Remote