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Full-Time

Machine Learning

ML, Engineer

Posted on 7/10/2024

Equip Health

Equip Health

201-500 employees

Virtual treatment for eating disorders

Hardware
Social Impact
Biotechnology
Healthcare

Compensation Overview

$140k - $165kAnnually

Mid

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Git
SQL
Requirements
  • Bachelor's or master's degree in Computer Science, Statistics, Mathematics, Operations Research, Engineering, or other quantitative field
  • 2+ years of experience in 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
  • 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
Responsibilities
  • Design and build end-to-end ML and AI pipelines
  • Develop tools and processes leveraging ML/AI
  • Monitor, evaluate, and optimize models
  • Collaborate with cross-functional team members
  • Research advancements in ML/AI

Equip Health provides virtual treatment for individuals struggling with eating disorders through a telehealth platform. Their approach involves a comprehensive, at-home treatment model that supports full recovery. Patients are cared for by a multidisciplinary team consisting of a therapist, physician, dietitian, family mentor, and peer mentor, ensuring that both the physical and psychological aspects of eating disorders are addressed. Services offered include individual and family therapy, medical monitoring, nutritional counseling, and peer support. Equip Health stands out from competitors by integrating clinical expertise with personal experience, creating a personalized treatment experience. Their goal is to promote early intervention, as timely treatment increases the chances of recovery and reduces the risk of relapse, making their services accessible through insurance coverage.

Company Stage

Series C

Total Funding

$109.7M

Headquarters

San Diego, California

Founded

2019

Growth & Insights
Headcount

6 month growth

10%

1 year growth

26%

2 year growth

161%
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Simplify's Take

What believers are saying

  • Equip Health's recent $35M funding round, bringing total funding to over $95M, indicates strong investor confidence and potential for growth.
  • Partnerships with major insurance providers like Regence expand their reach and accessibility, enhancing their market presence.
  • Recognition as one of the most exciting digital health startups of 2024 by VCs highlights their innovative approach and industry impact.

What critics are saying

  • The telehealth market is highly competitive, requiring Equip Health to continuously innovate to maintain its edge.
  • Dependence on insurance coverage for revenue could be risky if policies change or if they face reimbursement challenges.

What makes Equip Health unique

  • Equip Health's multidisciplinary care team, including therapists, physicians, dietitians, family mentors, and peer mentors, offers a holistic and personalized approach to eating disorder treatment, unlike many competitors.
  • Their services are covered by most insurance plans, making their treatment more accessible compared to other telehealth providers.
  • Equip Health combines clinical expertise with lived experience, providing a unique and effective treatment model that has shown significant patient improvement.

Benefits

Flexible PTO & work hours

WFH or close to it

Home office stipend

Parental leave

Medical, vision, & dental

HSA & FSA

401k

INACTIVE