Remote Generative Ai Research Scientist

Remote Generative AI Research Scientist leadership calls for deep generative modeling expertise, spanning GANs, VAEs, diffusion models, and large language models.As a Principal scientist, you will lead fundamental artificial intelligence research and innovation. The work includes developing novel architectures, implementing models, publishing findings, and mentoring research scientists. You will also collaborate with engineering teams to translate breakthroughs into practical solutions.Key Responsibilities:
Lead research in generative artificial intelligenceDevelop models for image synthesis and text generationPublish findings in leading AI conferences and journalsMentor junior research scientists and guide teamsDefine research directions and long-term AI strategyRequirements:
Ph.D. in computer science, artificial intelligence, or related fieldDistinguished generative modeling research recordExpertise in GANs, VAEs, diffusion models, Transformers, and LLMsProficiency in Python, PyTorch, or TensorFlowStrong machine learning and statistical modeling understandingLead remote generative AI research through advanced modeling, influential publications, mentorship, and collaboration with engineering teams.
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