Senior GenAI Data Scientist
Core
Develop data science and ML capabilities for an automated GenAI red-teaming platform to analyze adversarial prompts, identify attack patterns, and build models for automated prompt generation and mutation.
Role type
Senior hands-on IC GenAI Data Scientist (Red Teaming & Security)
Builds
Automated GenAI red-teaming platform, ML models for prompt mutation, evaluation pipelines, and agent-based attack generation systems.
Domain
AI Security / Trust & Safety / Large Language Models
Deliverable
production ML models
Required skills
GenAI red teaming, adversarial testing, clustering, embeddings/NLP, anomaly detection, statistical analysis, Python, SQL, PyTorch, Scikit-Learn, LLM design patterns, prompt engineering, RAG, experimental design, MLOps, CI/CD
Preferred skills
LLM agents, multi-agent workflows, LangGraph, LangChain, AWS, Hugging Face, Bedrock, Azure, data visualization, regulated environments
Technologies
Python, R, SQL, Scikit-Learn, PyTorch, Cradle, Apache Hadoop, Spark, LangGraph, LangChain, OpenAI Agents SDK, Tableau, Power BI, matplotlib, AWS (Lambda, S3, EC2), Hugging Face, Bedrock, Azure
Responsibilities
Build agents that act as data scientists at scale to generate and analyze adversarial attacks; manage and curate prompt/response data from multiple sources; analyze large volumes of data to uncover attack families and jailbreak techniques; develop ML models and predictive algorithms to automate red-teaming; build evaluation and monitoring pipelines to measure attack success; use statistical techniques to validate findings; take research to production with scalable systems optimized for cost and latency.
Seniority
Senior, hands-on IC
