Autoscience builds AI systems that train state-of-the-art models for frontier and applied AI labs. Backed by General Catalyst.
About the role
Lead the design and implementation of core backend and infrastructure systems Own projects from architecture and design through production deployment
What they're looking for
- Experience leading complex engineering projects or technical initiatives
- Experience acting as a technical lead or guiding small teams of engineers
- Strong software design and architecture skills
- Demonstrable experience writing clear technical design documents
- Strong experience with Python
- Experience building or operating backend or production infrastructure
More about this role
At Autoscience Institute, we automate AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025) and the first AI system to win a Kaggle medal. We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field.
This is a full-time on-site role for a Senior or Staff Software Engineer (Technical Lead) located in the San Francisco Bay Area.
In this role, you will lead the design and development of core systems that power autonomous research agents. You’ll be responsible for building reliable backend infrastructure and production systems that support large-scale AI experimentation and research workflows.
We are looking for engineers who have owned complex projects end-to-end, contributed to system architecture, and helped guide small teams of engineers through delivery. You should be comfortable writing high-quality code, producing clear design documents, and making thoughtful technical decisions that shape how systems evolve over time.
You will work closely with both engineers and researchers to translate experimental ideas into robust production systems.
Lead...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area