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Machine Learning Engineer

Job Detail

  • Job ID 365795

Job Description

ABOUT US
At Vida, we help people get better — and we’re helping the healthcare system get better, too.  
Vida provides expert, personalized, on-demand health coaching and programs through a network of experienced health care providers — like dietitians, therapists, and health coaches and leading medical institutions — coupled with an easy-to-use app with award-winning content.  
We focus on chronic conditions — like diabetes, depression, and hypertension — which account for 80% of the $3 trillion spent on healthcare in the US.  
By combining advanced technology with the top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. Vida’s cloud-based platform captures real-time data from 100+ devices and apps and delivers AI-driven insights back to employers, health plans, and providers to improve care. We are trusted by Fortune 1000 companies, major national payers, and large providers to enable their employees to live their healthiest lives.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
ABOUT THE ROLE
We are looking for a passionate ML engineer with experience in LLM and a keen interest in the health-tech domain. The ideal candidate will collaborate closely with our team to design, develop, and deploy our NLP based solutions. This position will be instrumental in solving the health care triple aim using NLP solutions that generate summaries, collect medical information from patients, and perform actions on their behalf in our systems.
If you have a penchant for pushing technological boundaries in healthcare and are familiar with Google Cloud Platform (GCP) and data management tools like GraphQL and dbt, then we’d love to hear from you.

 

REMOTE /
Product – Data /
Full Time- Exempt
/ Remote

 

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