Research Engineer, AI Safety & Alignment

Who you are:

• 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
• Experience working with GPUs (training, serving, debugging)
• Experience with data pipelines and data infrastructure
• Strong understanding of modern machine learning techniques, particularly transformers and reinforcement learning, with a focus on their safety implications.
• Are passionate about the responsible development of AI and dedicated to solving complex safety challenges.

Nice to Have:

• Experience with product experimentation and A/B testing
• Experience training large models in a distributed setting
• Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
• Experience with explainable AI (XAI) and interpretability techniques.
• Have research in AI safety, alignment, ethics, or a related area.
• Knowledge of the broader societal and ethical implications of AI, including policy and governance.
• Publications in relevant academic journals or conferences in the field of machine learning