Research Engineer, Human Understanding, DeepMind

Research Engineer, Human Understanding

At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains.

Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits.

Responsibilities:

• Research and implement novel models and other multimodal techniques for a more holistic understanding of human likeness across visual, audio, and textual data.
• Conduct experimental research cycles from hypothesis to deployment, focusing on areas like scalable deepfake detection, privacy-preserving matching, and consistent human likeness generation.
• Take ownership of substantial technical projects within human likeness modeling (HLM), from ideation and design to implementation and evaluation, often involving cross-functional collaboration.
• Inform and contribute to the development of scalable and efficient research infrastructure for HLM models and datasets.
• Design and execute strategies for tuning and adapting vision-language models (VLMs) and other foundation models for specific HLM tasks, such as improved explainability and nuanced likeness measurement.