Software Engineer, Science and Strategic Initiatives, DeepMind

Requirements:

• 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.

Nice to haves:

• 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.

What you'll be doing:

• 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.

Perks and benefits:

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
• Opportunity to work in a pioneering AI lab with exceptional interdisciplinary teams
• Diverse learning opportunities and varied career pathways
• Benefits offered by Google