Minimum qualifications:- Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.
- 8 years of experience in software development with Python.
- Experience building and developing large-scale infrastructure or distributed systems.
Preferred qualifications:- Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
- Demonstrated proficiency with Map Reduce, Hadoop, Spark, Flume, Hive, Impala, SparkSQL, BigQuery.
About the jobAt Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.
Our mission is to transfer GDM's research breakthroughs - in scientific discovery, cybersecurity, and coding - into products that generate groundbreaking discoveries and massive commercial impact. We are building a self-improving framework - a system that can automatically diagnose failure modes, generalize learnings across customer engagements, and continuously improve agent quality at scale. In this role, you will be at the foundation of this effort, working directly with enterprise customers and academic researchers to understand product opportunities, while simultaneously building the infrastructure to optimize and improve our products quickly and accurately.
Responsibilities - Design and build the self-improving framework, creating the core scaffolding, diagnostic tools, and feedback loops that drive continuous quality improvement.
- Engage directly with enterprise customers, public sector teams, and academic partners to safely deploy, monitor, and scale intelligent agents in real-world environments.
- Build automated evaluation pipelines that accurately measure real-world agent performance and capture quality metrics far beyond standard lab benchmarks.
- Develop sophisticated learning generalization systems that extract and distill insights from individual customer deployments, scaling improvements across all agents.
- Identify and characterize foundational model limitations with empirical evidence, collaborating directly with GDM research teams to pioneer next-generation models.
US: $262000 - $365000 (USD) 25% bonus target equity benefits
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