Contribute to existing documentation or educational content, adapt content based on product/program updates and user feedback. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, performance enhancements. Build autonomous red-teaming and adversarial simulation frameworks to proactively probe web/app crawling infrastructure, uncover cloaking and evasion blind spots, and close the loop to harden production crawlers.
Design high-throughput graph pipelines, entity-resolution and expansion algorithms, semantic layers, and LLM-powered graph reasoning tools that make anti-abuse intelligence accessible across dozens of teams. Write product or system development code. Work at the intersection of Generative AI, Distributed Graph Systems, and Adversarial Security/Anti-Abuse, with the flexibility to contribute across multiple projects.
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