Research Engineer (AI Safety & Alignment)

Join our team as a Research Engineer focused on AI Safety and Alignment. You will be at the forefront of addressing critical challenges in AI, conducting foundational research to make our models safer, and solving core technical problems related to AI alignment. Your work will have a significant impact on the safety and ethical development of AI, benefiting millions of users and contributing to the broader scientific community.

• Conduct foundational research to make AI models safer and solve core technical problems of AI alignment.
• Develop and implement novel evaluation methodologies and metrics to assess the safety and alignment of large language models.
• Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best practices.
• Experience working with GPUs (training, serving, debugging)
• Experience with data pipelines and data infrastructure
• Hold a PhD (or equivalent experience) in a relevant field such as Computer Science, Machine Learning, or a related discipline
• Write clear and clean production-facing and training code
• Are passionate about the responsible development of AI and dedicated to solving complex safety challenges
• Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications
• Publications in relevant academic journals or conferences in the field of machine learning
• Knowledge of the broader societal and ethical implications of AI, including policy and governance
• Have research in AI safety, alignment, ethics, or a related area
• Experience with explainable AI (XAI) and interpretability techniques
• Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
• Experience training large models in a distributed setting
• Experience with product experimentation and A/B testing