Twin Health helps employees and health plan members improve their metabolic health for normalized blood sugar, reduced medications, and sustained weight loss. Backed by Peak XV and ICONIQ.
About the role
Join us as we reinvent the standard of care in metabolic health.
What they're looking for
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years of industry experience
- Familiarity with architectural frameworks of large, distributed, and high-scale ML applications. Experience in the implementation of applications using LLM’s and GenAI is a huge plus
- Solid understanding of MLOps, data structures, and software design principles
- Proficiency in programming with Python and experience in other languages like Java or Go
- Strong knowledge in deploying scalable machine learning models, including experience with Docker, Kubernetes, and microservices architecture
- Experience with database technologies (e.g., SQL, NoSQL) and big data processing frameworks (e.g., Spark) is a plus
More about this role
At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health.
We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.
Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.
Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named...
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