Research Scientist, Veo: Google DeepMind

Google DeepMind is a team of scientists, engineers, and machine learning experts dedicated to advancing the state of the art in artificial intelligence. They aim to use technology for widespread public benefit and scientific discovery, ensuring safety and ethics are the highest priority. Their unique culture and interdisciplinary environment are designed to support long-term, ambitious research toward building artificial general intelligence (AGI).

Responsibilities:

Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms and data curation for multimodal generative AI, focusing on video and audio synthesis.

Clearly and efficiently report and present research findings and developments both internally and externally.

Suggest and engage in team collaborations to meet ambitious research goals, while also making significant individual contributions.

Collaborate with Ethics and Governance teams to ensure AI advancements are developed ethically and benefit humanity.

Requirements:

Required Skills & Experience:

PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.

Proven experience in deep learning research and development, particularly in generative AI related to video and audio synthesis (including diffusion and autoregressive models).

Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch).

A strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).

Advantageous Skills:

Demonstrated experience in the large-scale training of multimodal generative models.

A keen eye for visual aesthetics and detail, with a passion for creating high-quality, visually compelling generative content.