> Markdown version of [/jobs/ext/3314531-research-engineer-astra-deepmind](https://www.wearedevelopers.com/jobs/ext/3314531-research-engineer-astra-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, Astra, DeepMind - **Company:** Google - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Systems Engineering, Python (Programming Language), Machine Learning, Large Language Models, Multi-Agent Systems, Information Technology, Optimization Algorithms, Data Generation - **Published:** September 9, 2026 - **Apply:** https://dejobs.org/x/x/0ED48D31873845DF84B42A937B4F60DE/job/ ## About the Role * Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience. * 2 years of experience conducting research or engineering systems. * 2 years of experience building in Python. * 2 years of experience with agentic AI workflows, frameworks, and approaches. Preferred qualifications: * Master's degree or PhD in Computer Science, Machine Learning, or a related field. * Experience with data collection, model fine-tuning, and evaluation. * Experience with inference optimization techniques or extensive prompt tuning. * Track record of publication at leading conferences on the topic of agentic AI and multimodal LLMs. ## Description * Contribute to building a full-stack Universal Assistant prototype across key workstreams, including agent infrastructure, multi-agent systems, and full-stack integration. * Guide model inference, optimization, fine-tuning, and evaluation to improve system capabilities and reliability. * Support data workflows through synthetic data generation and prompt optimizations. * Collaborate with partner teams across DeepMind, including the Gemini and Gemini App teams, to integrate and evaluate new agentic capabilities. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Enhancing AI-based Robotics with Simulation Workflows](https://www.wearedevelopers.com/videos/472-enhancing-ai-based-robotics-with-simulation-workflows) - [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation](https://www.wearedevelopers.com/videos/1235-carl-lapierre-exploring-advanced-patterns-in-retrieval-augmented-generation) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)