Senior ML/AI Engineer

Senior ML/AI Engineer 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 https://equip.health/outcomes and treatment approach at www.equip.health. http://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 https://time.com/collection/time100-companies-2023/6285207/equip/ as one of the most influential companies of 2023, along with awards from Linkedin https://www.linkedin.com/pulse/linkedin-top-startups-2022-50-us-companies-rise-linkedin-news/ and Lattice https://lattice.com/blog/announcing-the-2023-finalists-for-lattices-people-success-awards, 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 ... (truncated, view full listing at source)