Google DeepMind · 7 hours ago
Staff Research Engineer, AI Products - Mountain View
Mountain View, California, US
Full-time
Onsite
Senior Level, Lead/Staff
$197K/yr - $291K/yr
5+ years expGoogle DeepMind is a leading team in artificial intelligence, seeking a highly motivated Software Engineer to rapidly explore and implement state-of-the-art Gemini models across core Google products. The role involves collaborating with engineering, product, and research teams to build and iterate on proof-of-concept integrations that leverage cutting-edge AI capabilities.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Translate research into tangible product concepts
Drive the rapid development of experimental Gemini-powered features
Collaborate with multiple product surfaces across Google to bring experiences to life
Qualification
Required
Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field
A minimum of 5 years of relevant professional experience
Experience with core software engineering and building highly available, high-traffic production systems
Experience training, deploying and operating large machine learning models (LLMs or similar) in a high-scale, low-latency production environment
Solid understanding of distributed systems, cloud computing principles, and performance optimization
Proven track record in 'zero-to-one' development—transforming raw ideas into rapid prototypes and full stack experience driving them through to full production
Strong programming skills in Python and C++
Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, particularly for inference and serving
Excellent communication and collaboration skills
Preferred
Full-stack engineering experience, comfortable working with frontend frameworks (e.g., React, Flutter, or simple web UIs) to visualize ideas, as well as backend services to power them
Strong track record in delivering features that leverage cutting-edge AI (e.g., LLMs, multimodal models) to a large user base
Deep understanding of end to end system architecture and adapting to new technologies and modern design
Significant prompt engineering experience, deep understanding of evaluation strategies and familiarity with of pretraining, post-training concepts
Familiarity with multimodal data and processing pipelines (vision, audio, text)
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.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Leadership Team
Demis Hassabis
Co-Founder & CEO
Aaron Saunders
VP of Hardware Engineering, Robotics
Recent News
2026-01-25
2026-01-23
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