Senior Diffusion Model Researcher

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.

We are seeking a highly motivated Senior Diffusion Model Researcher to lead cutting-edge research in generative models with a focus on image and video diffusion. The ideal candidate combines deep theoretical understanding with strong practical experience in training and deploying large-scale generative models.

A day in the life and how you’ll make an impact:

• Conduct state-of-the-art research on generative models, with an emphasis on diffusion techniques for image and video synthesis.
• Design, implement, and evaluate novel architectures and training methodologies for scalable diffusion models.
• Collaborate with cross-functional teams (engineering, product, design) to transition research into production-grade systems.
• Publish results in top-tier conferences (e.g., NeurIPS, CVPR, ICCV, ICML) and contribute to open-source initiatives.
• Stay up to date with the latest advancements in generative modeling and identify promising research directions.
• Mentor junior researchers and help shape the AI research roadmap.
  
  

• Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
• At least 5 years experience as algorithm developer or researcher
• Proven track record in generative modeling, specifically diffusion-based models for image and/or video generation.
• Strong proficiency in Python and deep learning frameworks such as PyTorch or JAX.
• Solid understanding of probabilistic modeling, score-based generative methods, and denoising diffusion techniques.
• Experience with large-scale model training and high-performance computing environments.
• Publications in top AI/ML conferences or journals.
  
  

• Experience in latent diffusion, video generative models, or multi-modal generation (e.g., text-to-image/video).
• Contributions to open-source generative modeling libraries.
• Familiarity with model evaluation metrics and benchmarking protocols for generative content.
• Prior experience in a startup or fast-paced R&D environment.