
201 - 500 employees
Founded 2018
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🧘 Wellness
Healthcare Insurance • Artificial Intelligence • Wellness
Twin Health is a company that focuses on improving the metabolic health of employees and health plan members by preventing and reversing chronic metabolic diseases. Utilizing proprietary Digital Twin AI technology, combined with smart devices, wearables, and a clinical care team, Twin Health provides personalized health recommendations. The solutions help in weight loss, lowering blood sugar levels, improving energy, mood, and sleep, and reducing dependency on costly medications by addressing the root causes of metabolic dysfunction. Their evidence-based programs deliver substantial health benefits, including considerable reduction in blood sugar levels, medication elimination, and overall metabolic health improvement, within six months.
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201 - 500 employees
Founded 2018
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
🧘 Wellness
Healthcare Insurance • Artificial Intelligence • Wellness
Twin Health is a company that focuses on improving the metabolic health of employees and health plan members by preventing and reversing chronic metabolic diseases. Utilizing proprietary Digital Twin AI technology, combined with smart devices, wearables, and a clinical care team, Twin Health provides personalized health recommendations. The solutions help in weight loss, lowering blood sugar levels, improving energy, mood, and sleep, and reducing dependency on costly medications by addressing the root causes of metabolic dysfunction. Their evidence-based programs deliver substantial health benefits, including considerable reduction in blood sugar levels, medication elimination, and overall metabolic health improvement, within six months.
• Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications. • Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams. • Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations. • Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end. • Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches. • Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base. • Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports. • Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build. • Other duties as assigned.
• 8+ years of industry experience developing AI and Machine Learning systems in production, with a track record of leading technical initiatives that span multiple teams or systems. • Deep software engineering fundamentals: testing, CI/CD, system design, code review — with demonstrated experience designing evaluation infrastructure and shared tooling for LLM-based systems, not just using it. • Proven experience setting technical direction and engineering standards at an organizational level, not just within a single team or codebase. • Experience creating and scaling applications leveraging LLMs, Generative AI, advanced Prompt Engineering, RAG, and iterative AI evals in production. • Track record of mentoring senior engineers and influencing technical decisions beyond your own project. • Experience with Voice AI or specialized Language Models (VLMs, multi-modal, etc.) is a plus. • Proficiency in Python and software engineering best practices at a level where you're often the one defining what "best practice" means for the team. • Bachelor's or Master's degree in Computer Science, Statistics, or a related field. • This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
• A competitive compensation package in line with leading technology companies • A remote and accomplished global team • 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
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