ML Researcher - Evaluations

📋 Description Develop signal-driven evals: translate needs into measurable metrics. Own the evaluation infra: build and scale Python pipelines and data. Explore external benchmarks for tabular data and pipelines. Maintain competitive baselines: track models against state-of-the-art. Manage internal leaderboard: report results to the team. 🎯 Requirements Proven experience in ML, data science, or AI engineering focused on model evaluation. Strong Python skills and pandas experience. Solid ML metrics knowledge and evaluation of foundation model outputs. Experience building automated testing pipelines or evaluation harnesses. Excellent internal communication; translate requirements into metrics. Experience translating real-world problems into quantifiable metrics. 🎁 Benefits Competitive compensation with salary and equity Comprehensive health coverage for you and your dependents Paid parental leave for all new parents, incl. adoptive/surrogate journeys Relocation support for employees joining in one of our office locations Mission-driven, low-ego culture that values diversity of thought and action