Machine Learning Engineer, ML/GenAI Evaluation
Austin; New York City; San Diego
USD 175K-312K (estimate) Senior-level Full Time
Tasks
- Build adversarial test suites
- Create benchmarks and corpora
- Define evaluation criteria and metrics framework
- Design evaluation test frameworks
- Design offline metrics and behavioral testing
- Evaluate model fairness
- Evaluate models under distribution shift
- Own model quality sign off
- Perform confidence calibration and uncertainty quantification
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Testing | Bayesian Methods | Calibration | Causal Inference | Causal Models | Causal Shapley Values | Confidence Calibration | Counterfactual Fairness | Distribution Shift | Document Understanding | Experiment tracking | Fairness evaluation | Generative AI | MLflow | Machine Learning | Model Evaluation | OCR | On-device Inference | Out of Distribution | Out of Distribution Generalization | Precision-recall | Privacy Constraints | Python | Shapley Values | Structural Causal Models | Temporal Drift | Uncertainty Quantification | Weights and Biases
Education
Regions
Countries
States
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