"diffusion transformers" Jobs
57 open tech roles matching “diffusion transformers”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: PyTorch, Python, TensorFlow. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 57 results
Join World Labs as a Research Scientist to advance generative modeling and create innovative 3D worlds.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Own the reliability and security of fal's generative media model APIs in a hybrid ML Engineering/SRE role.
Join Genmo as a Research Scientist to innovate in diffusion models for text-to-video generation.
Join Inferact as an inference runtime engineer to innovate AI inference engines for large models in a fully remote role.
Join Inferact as an inference runtime engineer to optimize AI model execution across diverse hardware and architectures.
Join a dynamic team as an AI Research Engineer to advance AI and machine learning in a startup focused on human-robot interaction.
Join Genesis Molecular AI as a Machine Learning Infrastructure Engineer to build innovative data systems for drug discovery.
Join Cartesia as a Researcher in London to advance AI through innovative neural network architecture design.
Join Cartesia as a Researcher to advance neural network architecture design in a collaborative, innovative environment.
Join World Labs as a Performance Engineer to optimize AI models for speed and efficiency in a cutting-edge research environment.
Join Genmo as a Research Engineer to advance visual generative AI in a fast-paced startup environment.
Lead product management efforts to bridge AI and drug discovery at Genesis Molecular AI.
Join a world-class team to lead transformative research in generative AI for drug discovery at Genesis Molecular AI.
Join Cantina as a Research Intern to work on next-gen video models in a hands-on, mentorship-driven environment.
Join Inferact as a staff engineer to work on optimizing AI inference across the vLLM stack in a fully remote role.