Twin Health
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.
Working here
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 one of Newsweek’s Top Most Loved Workplace® .
With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.
Join us as we reinvent the standard of care in metabolic health.
Opportunity
We are seeking a Senior AI Engineer to join our Core AI team of AI Engineers and Data Scientists to take our AI-driven product to the next level using the latest techniques in Gen AI, AI agents, and deep learning. This is powered by our Digital Twin AI, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health of our members everyday.
If you’re a hands-on AI Engineer who is excited to ship AI features used by members to fundamentally improve their health everyday, this is an excellent opportunity for you. Previous experience in healthcare is preferred, but not required.
Responsibilities
- Drive the end-to-end lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization.
- Own the engineering quality of the AI system — evaluation frameworks, testing, CI pipelines for model behavior, and shared tooling used by the team.
- Set and enforce engineering standards through code review: testing practices, abstractions, observability, and production reliability.
- Apply advanced AI/ML and software engineering techniques to develop conversational AI agents, deep learning, and personalized recommendations to create “N of 1” solutions that adapt to individual needs.
- Build and improve ML models to drive behavior change to achieve sustained improvements in metabolic health for a diverse member base across diabetes, weight loss, etc.
- Influence product roadmap by deeply understanding member behavior and preferences through continuous data analysis.
- Collaborate cross-functionally with our clinical, medical research, business analytics, and engineering teams to design end-to-end AI-powered experiences for our members and clinical teams and achieve metrics-driven impact.
- Additional duties as assigned.
Qualifications
- 5+ years of industry experience developing AI and Machine Learning systems in production. Experience building consumer facing features a plus.
- Strong software engineering fundamentals: testing, CI/CD, system design, code review. This is not a research role. Experience building evaluation infrastructure for LLM-based systems (not just running evals, but building the framework). Comfortable extending shared infrastructure and reviewing code at a senior SWE level.
- Experience creating applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals.
- Experience integrating and deploying models in production AI systems.
- Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc) would be a plus.
- Proficiency in Python and software engineering best practices.
- This remote opportunity is available to US based persons. Applicants must be authorized to work for any employer in the U.S.
- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.
Compensation and Benefits
The compensation range for this position is $200,000-$220,000 annually.
In addition, Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin
- A competitive compensation package in line with leading technology companies
- As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments.
- Opportunity for equity participation.
- Unlimited vacation with manager approval.
- 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents.
- 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options.
- 401k retirement savings plan.
We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a twinhealth.com email address. We will never ask you to complete a text interview or request financial details during the interview process.
