Member of Technical Staff – Research, Operations & Decision Science

About the role

Join causal’s mission to build general causal intelligence by developing a Large Physics foundation Model. As a Member of Technical Staff you will focus on turning high‑stakes operational challenges into rigorous decision‑making problems and evaluating the quality of model‑driven decisions.

Key responsibilities

• Formulate objectives, constraints, and decision problems for reasoning models.
• Develop methodologies for evaluating decision quality under uncertainty, including counterfactual analysis.
• Translate complex operational environments into well‑posed optimization and decision problems.
• Ensure rigorous validation of optimization and decision‑making models for real‑world deployment.
• Collaborate with reasoning, evaluation, and product teams to connect research outcomes to actionable decisions.

Required profile

• Deep expertise in operations research, decision science, or a closely related field (PhD or equivalent experience).
• Strong grasp of optimization and decision‑making under uncertainty, preferably with stochastic methods.
• Experience in high‑stakes operational settings where forecasts drive consequential decisions.
• Proven ability to evaluate the quality of optimization or decision models, not just build them.
• Excellent collaboration skills to work closely with ML researchers and translate operational realities into technical problems.

Required skills

• Operations research
• Decision science
• Optimization under uncertainty