AI Platform Engineer
Nabla Bio is a Cambridge, Massachusetts AI drug-design company that combines generative molecular modeling with integrated wet-lab testing to develop antibody and other protein therapeutics.
Funding history
About Nabla Bio
Its JAM (Joint Atomic Model) platform uses protein sequence, structure, and Nabla-generated experimental measurements for de novo biologics design, affinity/developability optimization, and multispecific therapeutic design, with a focus on difficult targets such as GPCRs, ion channels, and transporters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and maintain user-facing applications, APIs, and dashboards for drug design workflows. You will develop ML training and inference systems, expose models through scalable backend services, collaborate with scientists on AI-augmented experiment planning, and own delivery from prototype through deployment and observability.
Requirements
- 5+ years of experience as a full-stack, ML infrastructure, or platform engineer
- Experience building backend systems that serve ML models in production
- Frontend development skills in React and TypeScript
- Fluency in Python
- Familiarity with cloud-native tools, Kubernetes, and Docker
- Ability to partner with wet-lab scientists and AI researchers
- Track record of shipping quickly with quality
Responsibilities
- Build and maintain user-facing applications, APIs, and dashboards for drug design workflows
- Develop ML training and inference systems and scalable backend services
- Collaborate with scientists on AI-augmented experiment planning and analysis
- Own full-stack development from prototype to production, including deployment and observability
- Leverage modern AI development tooling