Member of Technical Staff, AI/ML

🕒 il y a 19 jours

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Curai Health

Site WebLinkedInTous les Emplois

51 - 200 employés

🤖 Intelligence artificielle

⚕️ Assurance santé

💰 €27 500 000 Series B en 2020-12

Artificial Intelligence • Healthcare Insurance

Curai Health est une entreprise qui propose des solutions complètes de soins primaires virtuels intégrant l'intelligence artificielle à l'expertise des professionnels de santé. L'entreprise vise à élargir l'accès à des soins primaires abordables grâce à une technologie assistée par l'IA, promouvant de meilleurs résultats pour les patients et une équité accrue en matière de soins de santé tout en réduisant les coûts opérationnels. Curai Health soutient les régimes de santé, les systèmes de santé et les administrateurs tiers en intégrant des logiciels améliorés par l'IA et des équipes de soins pour optimiser la prestation des soins et la gestion des patients. Leur plateforme facilite les soins primaires personnalisés, les soins urgents, la prescription et la commande de tests de laboratoire, la gestion des affections, la navigation dans les réseaux et les intégrations de flux de travail cliniques, visant tous à améliorer l'expérience des patients et l'accès aux soins de santé. Curai Health s'engage à utiliser l'IA de manière substantielle pour améliorer l'efficacité et l'efficacité des soins de santé, se distinguant comme un partenaire pour les organisations cherchant à renforcer leurs capacités de soins virtuels.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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.