Research Engineer, Multimodal Reasoning For Information Literacy

About the role

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.

Responsibilities

• Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.
• 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, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

Requirements

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

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

Qualifications

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

Skills

• Passion for advancing information literacy using machine learning and other computational techniques.
• Interdisciplinary expertise in computer vision, multimodal machine learning, and AI research.
• Strong software development skills in Python and deep learning frameworks.
• Quantitative skills in math and statistics.
• Experience in data exploration, analysis, and visualization.
• Experience in large-scale model training and deployment.
• Experience with video understanding and large language models.
• Experience with prompt engineering, few-shot learning, and post-training techniques.
• A proven track record of research or engineering achievements.

Benefits

We offer a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don't set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

Pay

The US base salary range for this full-time position is between $174,000 - $252,000 + bonus + equity + benefits.

Schedule

This is a full-time position.