Senior AI Platform Engineer - Full-Stack for Drug Design

Nabla Bio; Boston (MA); Presencial; USD 150 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity

Benefits package

Fast-moving environment

Resumo da oferta

Nabla Bio in Cambridge, MA is seeking a senior engineer to build core infrastructure and tools connecting AI models to real-world drug design. You will own full-stack development across UI, APIs, and ML pipelines to accelerate discovery.

Collaborate with wet-lab scientists and pharma partners, ship production-grade services, and leverage modern AI tooling to speed up experiments. This hands-on role offers high impact and opportunities to shape cutting-edge AI in medicine.

Qualificações

• 5+ years in full-stack, ML infra, or platform engineering.
• Experience deploying ML models in production.
• Frontend strong (React/TypeScript) and Python fluency.
• Familiarity with cloud-native tools and containerization.

Responsabilidades

• Build and maintain UI, APIs, and dashboards to reduce the idea-to-implementation gap in drug design workflows.
• Develop robust ML training and inference systems and scalable back-end services.
• Collaborate with scientists to ship high-leverage AI tools for experiment planning and analysis.
• Own full-stack development from prototype to production, including deployment and observability.
• Leverage modern AI dev tooling to move fast and stay focused on high-value work.

Conhecimentos

Full-stack engineering

ML infra

React and TS

Python

Docker & Kubernetes

Ferramentas

Kubernetes

Docker

Descrição da oferta de emprego

Nabla Bio in Cambridge, MA is seeking a senior engineer to build core infrastructure and tools connecting AI models to real-world drug design. You will own full-stack development across UI, APIs, and ML pipelines to accelerate discovery.

Collaborate with wet-lab scientists and pharma partners, ship production-grade services, and leverage modern AI tooling to speed up experiments. This hands-on role offers high impact and opportunities to shape cutting-edge AI in medicine.