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N
AI Platform Engineer
Nabla Bio
BostonOn-site9mo ago
- Employment
- Full-time
About the role
- 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 and expose our models through scalable back-end services
- Collaborate closely with scientists to understand pain points and ship high-leverage tools, including AI-augmented 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
- 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, sense, and ability to partner with wet-lab scientists and AI researchers
- High agency and a track record of shipping quickly with quality
- A fast-moving environment where you can build and ship tools that impact real drug programs
- The opportunity to shape how cutting-edge AI and LLMs are used to accelerate scientific discovery
- Access to modern ML models and wet-lab infrastructure for rapid experimentation
- A small, focused team where your engineering decisions have outsized impact
- Highly competitive salary, equity, and benefits package
Perks & benefits
- Equity Compensation
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