Senior GenAI Data Scientist
Alice · Ramat Gan, Tel Aviv District · hybrid
Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors.
We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis.
You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models.
We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis.
Key Responsibilities
- Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks.
- Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis.
- Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns.
- Develop ML models and predictive algorithms to automate red-teaming.
- Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers.
- Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
- Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry).
RequirementsRequirements
Must-Have
- 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL.
- 3+ years of experience with Scikit-Learn and PyTorch.
- Hands-on experience in GenAI red teaming, adversarial testing, or LLM security.
- Hands-on experience building and deploying LLM-powered or ML systems in production.
- Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG.
- Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection.
- Experience building classification, ranking, or prioritization systems.
- Solid background in statistics, experimental design, and model evaluation.
- Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines.
- M.Sc. in CS/EE/Math/Statistics or a related field; Ph.D. is an advantage.
Nice-to-Have
- Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK.
- Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling.
- Data visualization with Tableau, Power BI, or matplotlib.
- Experience with AWS, including Lambda, S3, and EC2.
- Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure.
- Background in Trust & Safety, security, or regulated environments.
Alice 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 every day. Through Real-Time Guardrails and continuous Red Teaming, backed by deep threat intelligence and coverage of 117+ languages, Alice helps AI, security, and policy teams build GenAI products that stay safe at global scale.
About AliceAlice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines.
In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.
Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms.
If you're creative and driven to secure the future of AI, we want to hear from you!