Apply on Employer Site

Google DeepMind · 9 hours ago

Software Engineer, AI Products

Mountain View, California, US

Full-time

Onsite

Senior Level

$197K/yr - $291K/yr

5+ years exp

Google DeepMind is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for public benefit. They are seeking a highly motivated Software Engineer to rapidly explore and implement the state-of-the-art Gemini models across core Google products, focusing on building functional prototypes that leverage cutting-edge AI capabilities.

Artificial Intelligence (AI)Business DevelopmentMachine Learning

Growth Opportunities

Responsibilities

Translate research into tangible product concepts

Drive the rapid development of experimental Gemini-powered features

Collaborate with multiple product surfaces across Google to create engaging user experiences

Prototype and iterate on ideas as part of a team tackling ambitious challenges

Qualification

Large Machine Learning ModelsPythonC++Full-stack EngineeringDistributed SystemsCloud ComputingPerformance OptimizationML FrameworksCommunication SkillsCollaboration Skills

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

Glassdoor4.5

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.

Founded in 2010

London, England, GBR

501-1000 employees