Agent Post-Training, Frontier Evals and Environments Research
Researcher building frontier RL environments, evaluations, and training signals to steer OpenAI's largest agent training runs and measure model capabilities.
Conducts original research in machine learning and AI focused on large-scale foundation models and generative AI to advance Spotify's personalization systems. Requires Master's/PhD, 2+ years research experience, publications in top conferences, and expertise in recommender systems.
Researcher building frontier RL environments, evaluations, and training signals to steer OpenAI's largest agent training runs and measure model capabilities.
Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.
Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.
As a Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.
This is a research role focused on building models that continuously evolve with the world, with a focus on efficiency, gradient-free exploration, real-time learning, and interface design. The role requires strong programming skills and expertise in model optimization techniques.