Research Engineer, Generative Media, DeepMind

• Design, implement, train, and evaluate novel deep learning models for real-time generative media, including video-audio synthesis, manipulation, and understanding.
  
• Develop and optimize algorithms and systems for AI experiences on Omni platforms, focusing on live dialog, live video editing, and crosscut.
  
• Collaborate with research scientists and engineers to prototype, experiment, and scale generative AI techniques using software engineering best practices.
  
• Contribute to the design of datasets, evaluation methodologies, and infrastructure required for training and testing generative models.
  
• Analyze results to iterate on architectures, contribute to research publications, and help deploy successful research into GDM and Google products.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 4 years of experience in designing, training, and evaluating deep generative models (e.g., Diffusion Models, Transformers, GANs) for media synthesis and manipulation (image, video, audio).
• 4 years of experience with experimentation, dataset curation, eval systems, and building ML pipelines.
• 4 years of experience with machine learning, computer vision, and deep learning.

Preferred qualifications:

• Master's or PhD degree in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
  
• Experience with multimodal learning, integrating video, audio, and text.
  
• Experience with video generation and editing models.
• Experience with Python and deep learning frameworks such as JAX, TensorFlow, or PyTorch.
• Knowledge of techniques for model optimization and efficient/low-latency inference suitable for real-time applications.
  
• Familiarity with real-time systems or media streaming technologies.
  

• Bachelor’s degree or equivalent practical experience.
• 4 years of experience in designing, training, and evaluating deep generative models (e.g., Diffusion Models, Transformers, GANs) for media synthesis and manipulation (image, video, audio).
• 4 years of experience with experimentation, dataset curation, eval systems, and building ML pipelines.
• 4 years of experience with machine learning, computer vision, and deep learning.