Research Engineer

About the Company

At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse.

Responsibilities

• Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques
• Design and train multimodal models capable of complex visual reasoning
• Undertake exploratory analysis to inform experimentation and research directions
• Engage with product teams to drive the development of our research
• Implement tools, libraries, and frameworks to speed up and enable new research
• Report and present research findings, software developments, and experimental results
• Collaborate with internal and external scientific domain experts

Requirements

• PhD/Master’s degree in Computer Science, AI, ML, or equivalent practical experience
• At least 2 years of relevant experience developing computer vision or multimodal ML models
• Experience in software development using Python and deep learning frameworks (Jax, TensorFlow, PyTorch)
• Proven track record of building high-quality research prototypes and systems
• Quantitative skills in math and statistics
• Experience exploring, analysing and visualising data

Preferred Qualifications

• Experience in training and deployment of large-scale models
• Experience with Video Understanding
• Experience with Large Language Models, prompt engineering, few-shot learning, and post-training techniques
• Proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals