AI Safety Researcher - Streaming

We are looking for a researcher to further strengthen our work on AI safety. You will work with a cross functional team of highly skilled researchers, engineers, and domain experts on making sure our features are safe and trustworthy. You have a strong technical background and are able to work hands-on with complex systems and data.

What You'll Do -Working with a cross functional team including Research, Trust & Safety and Engineering. -Adversarial Testing: Stress test systems, e.g. via red-teaming campaigns, to identify material gaps and produce training data. The work includes for example: -Working hands on with querying and managing data, automated red teaming frameworks, LLM-as-ajudge, and more -Benchmarking with similar services -System alignment: Work with the teams to better align systems with evolving safety policies, focusing on robust and scalable processes. Example work: -Prompt and context engineering; Preference Tuning; Automatic prompt optimisation -Producing high quality test and training data -Preferably work full time during the contract, but part time can be applicable as well

Who You Are -Essential Safety Experience: Proven experience contributing to safety-related projects or research (e.g., adversarial testing, system alignment). -Technical Stack: Strong proficiency in Python, Java, and SQL. -AI Expertise: Hands-on experience with LLMs and prompt/context engineering. -Academic Requirement: Preferably pursuing or holding an MSc or PhD in an AI/ML-related field, with a focus on safety or agentic systems. -Plus: Experience working with cross-language models. -Core Expertise: Safety Research and advanced model alignment techniques. -Responsibilities: Lead adversarial testing/red-teaming campaigns to identify material gaps, focusing on robust and scalable system alignment (e.g., Preference Tuning, automatic prompt optimisation).