Member of Technical Staff, AI/ML

🕒 Maio 22

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Curai Health

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

💰 $27.500.000 Series B em 2020-12

Artificial Intelligence • Healthcare Insurance

A Curai Health é uma empresa que oferece soluções abrangentes de atenção primária virtual, integrando inteligência artificial com a experiência de profissionais médicos. A empresa tem como objetivo expandir o acesso a cuidados primários eficazes em termos de custo por meio de tecnologia assistida por IA, promovendo melhores resultados para os pacientes e aumentando a equidade na saúde, enquanto reduz os custos operacionais. A Curai Health apoia planos de saúde, sistemas de saúde e administradores de terceiros ao integrar software aprimorado por IA e equipes de cuidados para otimizar a entrega de cuidados e o manejo de pacientes. Sua plataforma facilita cuidados primários personalizados, atendimento urgente, prescrições e pedidos de laboratório, gerenciamento de condições, navegação em rede e integrações de fluxo de trabalho clínico, tudo com o objetivo de melhorar a experiência do paciente e o alcance dos cuidados de saúde. A Curai Health está comprometida em usar IA de maneira substantiva para melhorar a eficiência e eficácia dos cuidados de saúde, destacando-se como parceira para organizações que desejam aprimorar suas capacidades de cuidado virtual.

Descrição

• Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e.g., conversational AI, personalization, user understanding, clinical decision support, chronic care management). • Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails. • Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time. • Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers. • Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience. • Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority. • Stay close to the literature and the rapidly evolving AI ecosystem; bring back what is most useful for our patients and our team.

🎯 Requisitos

• Hands-on experience building and deploying machine learning systems including generative AI (LLMS) , — and a clear track record of impact. • Strong software engineering fundamentals and the ability to ship reliable, well-tested code in Python (or a comparable language) in a production environment. • Practical understanding of modern LLM techniques: prompting, retrieval-augmented generation, fine-tuning, evaluation, and the trade-offs between them. • Comfort working with messy, real-world data and designing evaluations to know whether a system is actually working. • Strong written and verbal communication; ability to collaborate with clinicians, product managers, and engineers across disciplines. • A bias toward action and ownership: you can take an ambiguous problem, drive it to a result, and bring others along. • Care for the mission. You want your work to translate into better health outcomes for real patients. • Nice to have • Experience applying ML or LLMs in healthcare, life sciences, or another regulated, high-stakes domain. • Experience with clinical NLP, medical knowledge representation, or working with electronic health record data. • Experience building agentic systems, tool-using LLMs, in production. • Experience scaling ML infrastructure — training pipelines, distributed inference, evaluation platforms — for a small, fast-moving team. • Track record of technical leadership: setting direction across teams, mentoring engineers, or publishing influential work.

🏖️ Benefícios

• High ownership work on problems that matter, with a tight feedback loop from real clinicians and patients. • A small, senior team where your work shows up in the product quickly. • Competitive compensation, meaningful equity, and comprehensive benefits. • Remote-first, flexible work environment across the U.S.