Research Engineer, Media Integrity
About The Position
This Research Team at Google DeepMind tackles challenging research problems in online information quality. We develop cutting-edge solutions to detect and understand various forms of misleading presentations of information and manipulated media and their online discourse. Our work spans information quality and integrity, provenance analysis, and development of tools for AI-assisted investigations. We utilize machine learning and Google's powerful tools to combat misinformation and create a safer online environment. We move fast, directly launching with trusted testers for rapid iterations. In addition to published research, our innovations land in various Google products and flagship models like Gemini. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. We are seeking a talented and highly motivated Research Engineer to join our team on the forefront of multimodal information quality and media integrity. You will be working alongside a multi-faceted world-class team of researchers and engineers to conduct cutting-edge research and advance the next generation of multimodal AI systems that help info seeking, deliberation and user understanding. You will focus on developing and implementing algorithms for assessing the quality and reliability of the investigations, and detecting anomalous patterns of activity.
Requirements
- PhD or Master's degree in Computer Science, Statistics, or a related field.
- Strong publication record in top machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV) or demonstrated experience in relevant engineering roles.
- Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, user ranking/assessment algorithms, or anomaly/outlier detection techniques.
- Experience developing and implementing scalable machine learning pipelines.
Nice To Haves
- Passion for promoting high information quality
- Track record of publications and relevant experience in user understanding or RL.
- Experience with training, evaluating, or interpreting large language models, and integrating tool use
- Proven ability to design and execute independent research projects
- Experience with model evaluation, including fairness and bias considerations.
- Expertise in developing models that assess user interactions and behavior patterns
- Experience with anomaly detection in user activity
Responsibilities
- Drive projects by defining key research questions
- Design, implement, and evaluate experiments to provide clear answers
- Collaborate with other researchers on joint projects
- Contribute to real-world impact, by landing your research in Google products and services.
- Publish research findings in top academic conferences and journals
- Stay up-to-date with the latest advancements in the field
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
