Machine Learning Engineer, Equip Health
$140-165k
+ Bonuses
Virtual treatment program for eating disorders
Job no longer available
Virtual treatment program for eating disorders
501-1000 employees
Job no longer available
$140-165k
+ Bonuses
501-1000 employees
Company mission
To provide eating disorder treatment that works to everyone who needs it.
Role
Who you are
- The ML Engineer II is an analytical thinker, effective communicator and collaborator, is detail oriented, and works comfortably in fast-paced environments
- A bachelor’s or master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Engineering, or other quantitative field
- 2+ years of demonstrated experience developing, training, evaluating, testing, deploying, monitoring, and iterating on production-level models and ML/AI pipelines at scale
- Solid understanding of software engineering principles and best practices
- Solid knowledge of mathematics and statistics
- Experience with large language models applied to unstructured text-based
- Strong programming skills in Python, Python-based ML frameworks, and SQL
- Ability to write clear, maintainable, extensible, and testable code
- Experience with Git / GitHub
- Demonstrated ability to communicate and collaborate with diverse, cross-functional teams
- Organized and results-driven
- Comfortable in a fast-paced environment that is subject to rapid change and innovation
- Work is performed 100% from home with no requirement to travel. 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
What the job involves
- The Machine Learning (ML) Engineer II 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
- As part of the Data and Insights team, the ML Engineer II 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
- Design and build end-to-end ML and AI pipelines, including training, fine-tuning, experimentation, and deployment, for a variety of use cases
- Develop tools and processes that leverage ML/AI to enhance the user experience, glean insights from large datasets, and increase operational efficiency
- Monitor, evaluate, and optimize models for better performance and outcomes
- Collaborate with cross-functional team members to scope and define project requirements, develop solutions, and deliver scalable and effective ML/AI models
- Research state-of-the-art advancements in ML/AI to guide our continuous improvement in the data space
- 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 expansion of the platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
56% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2024
$35m
SERIES C
Feb 2022
$58m
SERIES B
Total funding: $109.7m
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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