Member of Technical Staff — Research, Operations & Decision Science
Causal Labs, San Francisco +1
What you will do
- Formulate the objectives, constraints, and decision problems that our reasoning models optimize toward
- Develop methodology for evaluating decision quality under uncertainty, including counterfactual reasoning about outcomes
- Translate the realities of complex operational environments into well-posed optimization and decision problems
- Bring rigor to how optimization and decision-making models are validated for real-world use
- Partner with reasoning, evaluation, and product teams to connect research to the decisions it ultimately informs
What you need
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
- Deep expertise in operations research, decision science, or a closely related field (typically a PhD or equivalent experience)
- Strong grasp of optimization and decision-making under uncertainty, ideally including stochastic methods
