GenAI Data Scientist

What We Are Looking For

As a Data Scientist, you will drive clustering of adversarial prompts and build an automation for GenAI red teaming and sandboxing across models and providers.

We’re looking for a hands-on technologist with deep experience in data clustering, big data, machine learning, and predictive modeling.

Key Responsibilities

• Manage and analyze prompt data from multiple sources; clean, curate, normalize, and tag it for analysis.
• Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies.
• Develop ML models and predictive algorithms to automate red‑teaming (prompt generation, mutation, clustering, prioritization, labeling).
• Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
• Sandboxing and creation of safe environments for testing the models
• Evaluate prompts across GenAI models and endpoints
• Excellent communication, documentation, and cross‑team collaboration skills
  
  

Requirements:

Requirements

Must-Have

• 5+ years programming in Python or R, SQL.
• 3+ years experience with Scikit‑Learn and PyTorch.
• Strong grasp of clustering, embeddings/NLP, and anomaly detection.
• ExperienceCradle, Apache Hadoop, Spark; experience scaling ETL and feature pipelines.
  
  

Nice-to-Have

• M.Sc. in CS/EE/Math or related; Ph.D. is an advantage.
• Data visualizations with Tableau, Power BI, matplotlib.
• Experience with AWS including Lambda, S3, EC2.
• Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure.
  
  

About ActiveFence:

ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day.

As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.