Causal Labs
Member of Technical Staff — Research, Operations & Decision Science
San Francisco +1 · On-site · Staff · Full-time · Posted Jul 20, 2026
- Location
- San Francisco
Singapore - Education
- Typically a PhD or equivalent experience.
About the job
Define objectives for reasoning models and develop rigorous methods to evaluate decision quality in high-stakes operational settings.
What you'll do
- Formulate objectives, constraints, and decision problems for reasoning models.
- Develop methods to evaluate decision quality under uncertainty, including counterfactual reasoning.
- Translate operational environments into optimization problems and validate decision models for real-world use.
What they ask for
- Deep expertise in operations research, decision science, or a closely related field.
- Strong grasp of optimization and decision-making under uncertainty.
- Experience in high-stakes operational settings where forecasts drive consequential decisions.
- Strength in evaluating optimization or decision models and collaborating with ML researchers.
Nice to have
- Stochastic methods.
AI focus
Contribute to reasoning research by defining model objectives and evaluating decisions, supporting AI intended to predict and control physical systems.
Model-written summary · the original posting is authoritative