Research Engineer, Multimodal Reasoning For Information Literacy

Stack

Responsibilities

• ▹Rapid prototyping of computer vision and multimodal ML techniques for determining media authenticity
• ▹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 research
• ▹Implement tools, libraries, and frameworks to speed up new research
• ▹Report and present research findings, software developments, and data analysis
• ▹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 in computer vision or multimodal ML models
• ▹Software development experience in 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, analyzing, and visualizing data

Nice to have

• ▹Experience training and deploying large-scale models
• ▹Experience with Video Understanding
• ▹Experience with LLMs, prompt engineering, few-shot learning, and evaluations
• ▹Publications in peer-reviewed conferences or journals

Soft skills

What we offer

• ▹Bonus and equity
• ▹US base salary range: $174,000-$252,000 (plus bonus, equity, benefits)

About the company

Google DeepMind's research team tackles the most complex challenges in online information quality, building tools to detect manipulated media and misleading narratives, feeding discoveries directly into Google's flagship models including Gemini.