Senior ML/AI Engineer, Equip Health
$157.5-175k
+ Bonus
Virtual treatment program for eating disorders
Be an early applicant
Virtual treatment program for eating disorders
501-1000 employees
Be an early applicant
$157.5-175k
+ Bonus
501-1000 employees
Company mission
To provide eating disorder treatment that works to everyone who needs it.
Role
Who you are
- 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
What the job involves
- 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
- You'll 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
Our take
Eating disorders are common in the United States. Roughly 9% of the population, or 28.8 million people, will have an eating disorder in their lifetime. However, long waiting lists and one-size-fits-all approaches that usually do not involve the patient's support network lead to many people suffering without the help they need.
Equip Health provides virtual treatment programs for people with eating disorders, leading treatments with virtual five-person care teams consisting of a therapist, physician, peer mentor, family mentor and dietitian. The family mentor represents the company's Family Based Treatment method, which is designed to empower families to help loved ones overcome their eating disorders.
By holding all sessions virtually and including the family of the patient in their recovery, the company can increase accessibility to eating disorder treatment, reduce its cost, and help more people recover. The value of this proposition has seen Equip Health raise substantial funding, the latest of which is being channelled into growing the team to meet rising demand, and expanding access through partnerships.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
56% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2025
$46.7m
LATE VC
Apr 2024
$35m
SERIES C
Total funding: $156.4m
Company benefits
- Work in ways that work for you - Flexible PTO & work hours
- Work from home – or close to it - Co-working space stipends
- Comfortably WFH - Home office tech stipend
- Take care of yourself and your most important people - 12 weeks of paid parental leave, short term & long-term disability
- Healthcare and more - Medical, Vision, Dental, HSA & FSA
- We invest in you - 401k program starting day 1
- Open feedback in every direction - Regular coffee with co-founders and ongoing 360 feedback
Company HQ
Carlsbad Village, Carlsbad, CA
Leadership
Kristina Saffran
(Co-Founder & CEO)Co-founder and CEO of Project HEAL: Help to Eat, Accept and Live, from 2008 to 2019. Was also a Mental Health Advisory Board Member for Verily Life Sciences for 2 years.
Erin Parks, Ph.D
(Co-Founder & Chief Clinical Officer)Experience as Manager of the Pediatric Clinic for Eating Disorders at UC San Diego Health, where they are an Assistant Professor. Also Founding Operator of the Coalition Network.
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