Research Engineer, Human Understanding

Responsibilities

• Advance multimodal human representations and understanding through novel models across visual, audio, and textual data
• Conduct applied research cycles from hypothesis to deployment
• Drive substantial technical projects from ideation to implementation and evaluation
• Contribute to the development of scalable research infrastructure for multimodal models and datasets
• Design and execute strategies for tuning and adapting VLMs and other foundation models

Requirements

• PhD in Computer Science, Machine Learning, or a related technical field
• 3+ years of relevant experience
• Experience developing machine learning models (e.g., audio and speech-visual models)
• Experience working with and tuning large-scale vision language models
• Strong Python programming skills
• Experience with a major deep learning framework such as JAX
• Experience conducting independent research, experimental design, and analysis

Preferred Qualifications

• Experience with Generative AI techniques and architectures
• Familiarity with Reinforcement Learning or alignment methods
• Track record of publications in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
• Experience with multimodal learning across vision, audio, and text
• Understanding of privacy-preserving machine learning or responsible AI practices

About the Company

Google DeepMind is a team of scientists, engineers, and machine learning experts working to advance the state of the art in artificial intelligence and achieve Artificial General Intelligence (AGI).