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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Science and Strategic Initiatives, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $174,000.0 - $252,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Cloud Computing, Cyber Security, Core Foundation, Learning Management Systems, Programming Tools, Distributed Systems, Python (Programming Language), Software Engineering, Diagnostic Tools, Large Language Models, Multi-Agent Systems, Build Management, Information Technology, Machine Learning Operations, Data Pipelines, Apache Beam - **Published:** August 22, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3358936681&tx=KP2525FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 5 years of experience in software design and development using Python, distributed systems, or cloud infrastructure. * Experience building, deploying, and operating multi-agent or AI systems in production or near-production environments. * Experience with evaluation frameworks, metrics design, or quality measurement for machine learning systems. * Experience collaborating with cross-functional research teams, external partners, or enterprise customers to translate requirements into technical solutions., * Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field. * Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines. * Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale. * Experience working in research environments or track record of published research in relevant AI/ML conferences. * Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents. ## Description * Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents. * Deploy, monitor, and improve AI agents in real-world settings with enterprise customers and academic partners, transitioning direct engagements into a scalable deployment model. * Build automated evaluation pipelines that capture real-world agent quality, robustness, and performance beyond lab benchmarks. * Develop cross-engagement learning systems and memory architectures that extract and generalize insights across multi-agent deployments. * Characterize core foundation model limitations with empirical evidence, collaborating with Google DeepMind research teams to drive foundational improvements. 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Current or past grants do not confer an acquired right. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Cyber Security: Small, and Large!](https://www.wearedevelopers.com/videos/259-cyber-security-small-and-large) - [Less Is More: How Lagom and Agile Can Create Harmonious Workflows](https://www.wearedevelopers.com/videos/1993-less-is-more-how-lagom-and-agile-can-create-harmonious-workflows) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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