Research Scientist - Personalization

Conduct original research in machine learning and AI, with a focus on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning.

Develop novel methodologies, models, and evaluation frameworks to advance personalization systems.

Design and execute rigorous experiments to explore new ideas and validate research hypotheses.

Contribute to the scientific community through publications, talks, and conference participation.

You have a Master’s or PhD in machine learning, AI, or a related field, or equivalent research experience.

You have demonstrated expertise in machine learning and artificial intelligence through peer-reviewed publications at conferences such as NeurIPS, ICLR, ICML, KDD, or RecSys.

You have deep knowledge of machine learning, with hands-on experience in areas such as post-training and reinforcement learning for large models, reward design…

You are experienced in designing experiments and working with real-world datasets to validate research ideas.