> Markdown version of [/jobs/ext/1825602-research-engineer-multimodal-reasoning-for-information-literacy-deepmind](https://www.wearedevelopers.com/jobs/ext/1825602-research-engineer-multimodal-reasoning-for-information-literacy-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer, Multimodal Reasoning For Information Literacy, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $174,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Data Visualization, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, Software Engineering, Pytorch, Large Language Models, Prompt Engineering, Deep Learning, Information Technology - **Published:** July 11, 2026 - **Apply:** https://dejobs.org/x/x/B83ACC1B286842D094C9CD177AC198EE/job/ ## About the Role * Bachelor's degree in Computer Science, AI, ML, or equivalent practical experience. * 5 years of 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). * Experience exploring, analyzing, and visualizing data., * Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations. * Experience with video understanding. * Experience in training and deployment of models. * Track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals. * Excellent quantitative skills in math and statistics. ## Description * 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. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen](https://www.wearedevelopers.com/videos/1332-google-gemini-open-source-and-deep-thinking-models-sam-witteveen) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [DeepSeek R1 vs ChatGPT o1: How Do They Compare?](https://www.wearedevelopers.com/magazine/542-deepseek-r1-vs-chatgpt-o1-how-do-they-compare)