Research Scientist, Generative AI, DeepMind

Requirements:

• PhD in Computer Science, a related field, or equivalent practical experience.
• Experience of advanced deep learning, with a specific experience in foundational or practical contributions to diffusion models.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• Publication record in machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).

Nice to haves:

• Passionate for AI and a collaborative, open-minded approach to problem-solving.

What you'll be doing:

• Design, deploy, and accelerate generative models leveraging techniques like distillation to solve specific, high-complexity challenges.
• Maintain a flexible, problem-focused approach to research, identifying and utilizing the most effective algorithmic tools to overcome concrete technical roadblocks.
• Evaluate the datasets, training methodologies, and final outputs required to push the performance of large-scale, domain-specific generative models.
• Report developments and share deep scientific insights efficiently both verbally and in writing, mentoring peers and elevating the team's overall technical capability.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit
• Google's equal opportunity and affirmative action employer commitment
• Accommodation for Applicants form available
• English proficiency requirement for all roles
• Google does not accept agency resumes