Genmo Replay
Research Scientist -Video generation
Genmo Replay, San Francisco, California, United States, 94199
The role:
As a Research Scientist, you will develop innovative new machine learning techniques in the domain of either large-language models or visual generative modeling. You will also collaborate with other teams at Genmo to ensure safe and robust deployment of our generative models.
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.We are looking for researchers who value simplicity and scale in the pursuit of general purpose foundation models for visual generative modeling.Qualifications:
Past track record of fundamental research into generative models across either visual domains or text. This probably will include some form of past published research to academic venues.
Ability to independently pursue open-ended research projects.
Experience working with ML models and especially generative models (LLMs, GANs, Diffusion, etc.)
They will work in an agile and fast-paced environment
A strong passion for artificial intelligence and the drive to learn new technologies.
PhD in Computer Science, Computational Neuroscience, Statistics or other related technical field.
Past academic background. Published 2+ papers in top Machine Learning or Computer Vision venues such as NeurIPS, ICML, ICLR, CVPR, or ECCV/ICCV.
Bonus points:
Past experience in high-performance computing like distributed deep learning or GPU programming.
Strong will to attack hard programs in generative modeling alongside the rest of Genmo's research team.
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As a Research Scientist, you will develop innovative new machine learning techniques in the domain of either large-language models or visual generative modeling. You will also collaborate with other teams at Genmo to ensure safe and robust deployment of our generative models.
Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.We are looking for researchers who value simplicity and scale in the pursuit of general purpose foundation models for visual generative modeling.Qualifications:
Past track record of fundamental research into generative models across either visual domains or text. This probably will include some form of past published research to academic venues.
Ability to independently pursue open-ended research projects.
Experience working with ML models and especially generative models (LLMs, GANs, Diffusion, etc.)
They will work in an agile and fast-paced environment
A strong passion for artificial intelligence and the drive to learn new technologies.
PhD in Computer Science, Computational Neuroscience, Statistics or other related technical field.
Past academic background. Published 2+ papers in top Machine Learning or Computer Vision venues such as NeurIPS, ICML, ICLR, CVPR, or ECCV/ICCV.
Bonus points:
Past experience in high-performance computing like distributed deep learning or GPU programming.
Strong will to attack hard programs in generative modeling alongside the rest of Genmo's research team.
#J-18808-Ljbffr