"vaes" Jobs

6 open tech roles matching “vaes”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: PyTorch, Python, Diffusion Models. Every listing is re-checked daily and closed roles are removed.

Showing 6 of 6 results

Staff Research Engineer - Interactive Avatars Hybrid

Join Synthesia as a Staff Research Engineer to shape the future of AI video agents in a fast-paced, innovative environment.

Synthesia Europe Published 9 months ago

Machine Learning Diffusion Models PyTorch Python Generative AI

Flexible on stack

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AI Scientist - Biomedical Multimodal Modeling Hybrid

Join Xaira Therapeutics as an AI Scientist to develop multimodal foundation models for drug discovery using advanced AI techniques.

Xaira Therapeutics South San Francisco, California, United States $170k–$240k/yr Published 5 months ago

JAX multimodal learning generative modeling representation learning PyTorch

Flexible on stack

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Senior Research Engineer - Interactive Avatars Hybrid

Join Synthesia as a Senior Research Engineer to work on avatar-centric interactive video diffusion models in a hybrid setting.

Synthesia London, United Kingdom Published 9 months ago

VAEs Machine Learning Diffusion Models PyTorch Python

Flexible on stack

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Machine Learning Engineer - Voice Conversion

Join Cantina as a Machine Learning Engineer to build advanced speech systems and contribute to innovative AI technology.

Cantina Europe $200k–$220k/yr Published 2 months ago

TTS C++ CUDA VAE vocoders

Flexible on stack 70% coding

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Senior Applied Research Engineer - Video Hybrid

Join Synthesia as a Senior Applied Research Engineer to develop cutting-edge human-centric video generation models.

Synthesia Europe Published 1 month ago

AWS CUDA DeepSpeed PyTorch Python

Flexible on stack

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Research Scientist (diffusion)

Join Genmo as a Research Scientist to innovate in diffusion models for text-to-video generation.

Genmo San Francisco HQ Published 1 week ago

text-to-video generation Diffusion Models generative models PyTorch TensorFlow

Flexible on stack

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