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Research Engineer, Media Integrity

Google DeepMindMountain View, California, US
On-site Full-time

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Experience Level

Experience

Qualifications

The ideal candidate will possess a strong enthusiasm for utilizing machine learning and computational methods to improve information literacy. You should be adept at collaborating with diverse teams and have a keen interest in exploring innovative solutions to assess media trustworthiness.

About the job

We are seeking a passionate Research Engineer to enhance information literacy through machine learning, with a focus on evaluating the trustworthiness of media content including images, audio, and video. You will explore key concepts such as authenticity, provenance, and context. Your responsibilities will encompass rapid prototyping of machine learning techniques, conducting exploratory data analysis, collaborating with product teams to promote research initiatives, and developing innovative tools and frameworks aimed at expediting research efforts. A notable example of our research is Backstory.

About Us

At Google DeepMind, we believe that artificial intelligence can be one of humanity's most significant contributions. Our diverse team of scientists, engineers, and machine learning experts is dedicated to pushing the boundaries of AI technology for the greater good. We prioritize safety and ethics in our work and collaborate on critical challenges to ensure our innovations benefit society.

We foster a supportive and inclusive environment that encourages collaboration and knowledge sharing. We aim to challenge conventional limits and inspire each other to exceed our ambitious goals.

Your Role

As a Research Engineer, you will be part of an interdisciplinary team consisting of domain experts, ML researchers, and engineers. You will work on developing systems and tools to evaluate the trustworthiness of media across the internet. Relevant focus areas include media authenticity, context discovery, and open-source intelligence investigations. One of our recent projects is Backstory.

Key Responsibilities:

  • Plan and execute rapid prototyping of machine learning techniques for assessing media authenticity.
  • Conduct exploratory analysis to guide experimentation and research directions.
  • Collaborate with product teams to advance our research's development.
  • Create tools, libraries, and frameworks to facilitate and accelerate new research initiatives.
  • Document and present research findings, software developments, and experimental results.

About Google DeepMind

Google DeepMind is at the forefront of artificial intelligence research, striving to develop technologies that can benefit humanity on a grand scale. Our interdisciplinary team includes experts from various fields, all committed to advancing AI while maintaining a strong focus on ethical practices and public safety.

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