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machine learning ai simulation validation synthetic dataπ Description
- Evolve and scale a simulation/validation platform for Brex AI products.
- Build evaluation mechanisms to detect regressions and edge cases.
- Run continuous testing in production-like environments and set quality gates.
- Partner with product engineering to improve testability and robustness.
- Define AI feature quality standards using simulation-driven insights.
π― Requirements
- Experience building and owning complex software systems with critical correctness and reliability.
- Experience designing test, simulation, or validation systems for non-deterministic environments.
- Strong systems thinking with ability to decompose complex problems.
- Ability to influence product architecture through quality, reliability, and launch-readiness constraints.
- Comfort operating with authority and cross-team influence to raise the quality bar.
π Benefits
- Hybrid work model with three in-office days per week in Seattle (Mon, Wed, Thu).
- Up to four weeks per year of fully remote work.
- Opportunity to work on AI-powered simulation and validation platforms at scale.
- Collaborative, inclusive culture with growth opportunities.
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