Causal
Member of Technical Staff — Research Engineering, Evaluation
San Francisco. Posted 3 months ago
The role
You will build a central evaluation framework including pipelines, metrics, and tools. This framework will be used by the entire research organization to measure model quality.
What you will do
- Design and build a central, reusable evaluation framework
- Implement evaluation pipelines, benchmark suites, and baselines
- Build visualization and dashboard tools
- Establish sound statistical methodology for evaluation
- Partner with research and domain teams to translate domain needs into standardized, automated metrics
Required qualifications
- Strong software engineering skills
- Experience building data or evaluation pipelines at scale
- Experience turning research or model outputs into metrics, benchmarks, and visualizations
- Solid grasp of probability and statistics
- Full-stack range: comfortable building both backend pipelines and the frontend tools
- Owns deliverables end-to-end
About the company
Causal's mission is general causal intelligence. The founding team has built and deployed AI in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.