Staff Research Engineer, Applied AI, DeepMind
AI summary of the role
Staff Research Engineer leading the development and production deployment of novel applied AI applications powered by Google DeepMind foundation models.
What you’ll do
- Define product objectives and technical designs with external partners and cross-functional teams
- Curate specialized datasets, design evaluations, and fine-tune models for production performance
- Lead 0-to-1 development of AI-powered agents and workflows using DeepMind foundation models
- Synthesize deployment signals, evaluations, and edge cases for core research teams
What you’ll bring
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- 8 years of software development experience, including system design, data structures, and algorithms
- 5 years of experience building, training, and deploying machine learning models in production
- Experience with Generative AI/LLMs, model fine-tuning, dataset curation, and evaluation pipelines
Technologies
DeepMind foundation models · Generative AI · LLMs · Transformers · Diffusion · machine learning · deep learning · model fine-tuning · evaluation pipelines · AI agents
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
Employer postings · Data from · Sources