Description
Job Title
Research Engineer, Information Quality
Summary
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
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 systems and tools to assess the trustworthiness of media (images, audio, and videos) on the internet.
Key responsibilities:
- Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
- 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:
- Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
- Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
- Programming experience.
- Quantitative skills in math and statistics.
- Experience exploring, analysing and visualising data.
Preferred Qualifications
In addition, the following would be an advantage:
- Experience in multimodal learning, including the training and deployment of large-scale models.
- Experience developing AI agents.
- 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.
Benefits
The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.