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Job Description
- Contribute to project scoping, manage project priorities and technical resource allocation, and co-develop engineering priorities and solutions for Workspace AI product safety and prompt injection evaluations within your projects.
- Design and implement anti-abuse policies, strategies, and workflows. Build processes and tests to anticipate and address future AI safety issues.
- Solve complex AI abuse and safety problems using a multi-faceted approach, identifying new safety and quality issues quickly through data analysis.
- Propose and implement safety program changes by collaborating with engineers and product managers, guiding adjacent project timelines and goals.
- Construct accurate and efficient queries of high complexity independently to extract and manipulate large volumes of critical product data. Compute statistics (e.g., precision, recall, and balanced accuracy) to analyze and evaluate classifier performance, identifying nuanced or easily missed problems in complex technical models.