Causal Labs
Member of Technical Staff — Research Engineering, Evaluation
San Francisco +1 · On-site · Staff · Full-time · Posted Jul 20, 2026
- Location
- San Francisco
Singapore
About the job
Build the central evaluation framework, pipelines, metrics, and tools that help Causal Labs measure and compare its models’ performance.
What you'll do
- Design and build a reusable evaluation framework for models and teams.
- Implement evaluation pipelines, benchmark suites, baselines, visualizations, and dashboards.
- Establish sound statistical methods and partner with research and domain teams to define standardized metrics.
What they ask for
- Strong software engineering skills and experience building data or evaluation pipelines at scale.
- Experience translating research or model outputs into metrics, benchmarks, and visualizations.
- Solid grasp of probability and statistics.
- Able to build both backend pipelines and frontend tools, and drive deliverables end-to-end.
AI focus
Develop and evaluate a Large Physics foundation Model (LPM) intended to predict and control physical systems, starting with weather; this role builds its evaluation framework.
Model-written summary · the original posting is authoritative