Senior AI Platform Engineer for Production ML & Drug Design

Nabla Bio, Inc; Cambridge (MA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Competitive pay

Benefits

Job summary

Nabla Bio, Inc. is seeking a senior engineer to build core infrastructure and tools that connect our AI models to real-world drug design workflows in Cambridge, MA.

You will own full-stack development from prototype to production, building UIs, APIs, and ML pipelines that accelerate discovery. You’ll collaborate with scientists to ship high-leverage tools, including AI-augmented experiment planning and analysis, while enabling scalable deployment of models and experiments across platforms.

Qualifications

• 5+ years of experience as a full-stack, ML infra, or platform engineer
• Experience building backend systems that serve ML models in production
• Strong frontend development skills (React, TypeScript, etc.)
• Deep fluency in Python; familiarity with cloud-native tools and containerization (Kubernetes, Docker)
• Strong product taste and ability to partner with scientists and AI researchers

Responsibilities

• Build and maintain user-facing applications (UIs, APIs, and dashboards) that reduce the idea-to-implementation gap in drug design workflows
• Develop robust ML training and inference systems to accelerate experimentation during model development
• Collaborate with scientists to ship high-leverage tools, including AI-augmented experiment planning and analysis
• Own full-stack development from prototype to production, including deployment and observability

Skills

Full-stack engineering

ML infra

React

TypeScript

Python

Tools

Kubernetes

Docker

Job description

Nabla Bio, Inc. is seeking a senior engineer to build core infrastructure and tools that connect our AI models to real-world drug design workflows in Cambridge, MA.

You will own full-stack development from prototype to production, building UIs, APIs, and ML pipelines that accelerate discovery. You’ll collaborate with scientists to ship high-leverage tools, including AI-augmented experiment planning and analysis, while enabling scalable deployment of models and experiments across platforms.