AI Jobs

This role involves conducting deep learning research with a focus on Reinforcement Learning and Large Language Models at Hewlett Packard Labs. The position requires extensive experience in machine learning research and contributions to cutting-edge AI development.

This role focuses on advancing reasoning capabilities in large language models (LLMs) and agentic systems, with emphasis on identifying optimal data types and methodologies for improving LLM-based agents including browser and software engineering agents. The ideal candidate needs deep expertise in LLMs, planning algorithms, agentic reasoning, and creative problem-solving in data generation, model interaction, and evaluation.

This role involves evolving Netflix's core measurement and analytics tools by integrating cutting-edge scientific advances in pricing and measurement methodologies. The position requires expertise in experimental design, quantitative research, and machine learning frameworks like TensorFlow to drive data-driven pricing strategies.

This role focuses on developing novel post-training techniques including SFT, RLHF, and reward modeling to enhance large language model capabilities across text and multimodal modalities. Required expertise includes deep learning, reinforcement learning, and experience with large-scale generative models, with expectations to publish research at top-tier AI conferences.