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.
What you'll do
You will 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, and stay up-to-date with the latest advancements in the field.
What you need
You are a passionate and talented researcher with a strong theoretical foundation, a proven ability to conduct impactful research, and a passion for delivering real-world impact via responsible AI. In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:
- 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.
