Google DeepMind · 1 day ago
Software Engineer, Gemini Data Tooling
DeepMind is a leader in AI innovation, focused on building advanced tooling for training data and evaluations. The Software Engineer role involves designing and developing essential data tools for Gemini model training, collaborating with researchers, and delivering comprehensive solutions primarily in Python.
Artificial Intelligence (AI)Business DevelopmentMachine Learning
Responsibilities
Designing and Developing Core Tooling: Lead the design and development of essential data tools for Gemini model training. This involves overseeing the complete data lifecycle, from data collection and curation to release tooling, distillation, and analysis
Collaborating and Translating User Needs: Work closely with researchers and engineers to understand their needs and translate them into effective, user-centric solutions
Driving Developer Experience (DevEx): Leverage strong UX intuition to create tooling with exceptional developer experience
Mentoring and Guiding: Provide technical guidance and mentorship to other team members in tooling development
Delivering End-to-End Solutions: Develop comprehensive, end-to-end solutions primarily in Python
Navigating Dynamic Environments: Thrive in a dynamic environment, adapting to evolving challenges and priorities in large language model (LLM) development
Qualification
Required
BSc in a relevant technical field or equivalent experience
Strong proficiency in Python for developing scalable and robust solutions
Experience designing and implementing distributed systems
Knowledge and experience with machine learning infrastructure
Experience or a strong interest in user-centric design
SWE interpersonal skills and problem solving skills (discuss technical ideas effectively with colleagues, e.g. through whiteboard, design docs, presentations; interact directly with our end users on various channels)
Preferred
Experience with developing tools for managing and processing training data
Front-end / Fullstack Experience: Strong Angular and TypeScript skills, experience building and optimizing user interfaces for data-intensive applications, and proficiency in creating developer tools and workflows
Modeling Experience: Hands-on experience with ML modeling or quality work. The ability to collaborate closely with researchers leads to the development of better tooling that strongly fits user needs
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Recent News
2026-01-06
2026-01-06
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