Research Engineer, Human Understanding, DeepMind

Experteer Overview In this role you work on research-driven AI to understand and model human likeness across visual, audio, and text data. You will lead experimental cycles, prototype architectures, and contribute to scalable infrastructure and evaluation. You’ll collaborate across teams to deploy promising ideas and publish findings, aligning with safety and ethics priorities. This is a chance to impact broad products and research collaborations at Google DeepMind. Compensation / Benefits * Research and implement novel multimodal models for holistic human likeness understanding across visual, audio, and textual data * Lead experimental research cycles from hypothesis to deployment in areas like scalable deepfake detection, privacy-preserving matching, and consistent human likeness generation * Own substantial HLM-related technical projects from ideation to evaluation, with cross-functional collaboration * Contribute to scalable, efficient research infrastructure for HLM models and datasets * Design and execute tuning strategies for vision-language models and foundation models for HLM tasks, improving explainability and likeness measurement Tasks * Bachelor in Computer Science, Machine Learning, a related technical field or equivalent practical experience * 5 years of experience developing machine learning models (e.g., audio/speech-visual models) * Experience with vision-language models and tuning them * Proficiency in Python and deep learning frameworks (e.g., JAX, Flax, Gemax) * Experience conducting research and development, including experimental design, implementation, and analysis * Preferred: Generative AI techniques, multimodal learning, RL or alignment methods, privacy-preserving ML, publications in AI/ML conferences Key requirements * bonus target * equity * benefits

aaaw_ * Design and execute tuning strategies for vision-language models and foundation models for HLM tasks, improving explainability and likeness measurement Tasks * Bachelor in Computer Science, Machine Learning, a related technical field or equivalent practical experience * 5 years of experience developing machine learning models (e.g., audio/speech-visual models) * Experience with vision-language models and tuning them * Proficiency in Python and deep learning frameworks (e.g., JAX, Flax, Gemax) * Experience conducting research and development, including experimental design, implementation, and analysis * Preferred: Generative AI techniques, multimodal learning, RL or alignment methods, privacy-preserving ML, publications in AI/ML conferences Key requirements * bonus target * equity * benefits