Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field and 8 years of progressive post-baccalaureate, experience in the job offered or in a Software Engineer-related occupation.
• Alternatively, will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field, and 6 years of experience in the job offered or in a Software Engineer-related occupation.
• Position requires 6 years of experience in the following: Software product lifecycle management from testing to launch; Python or C for machine learning applications; Algorithm and data structure design to improve system scale and efficiency; Software design and architecture for complex systems; Data pipeline development for managing and processing large-scale user data

About the job
The US base salary range for this full-time position is $264,550 - $300,000 20% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google Mountain View, California office & may allow for a hybrid schedule as per Google policy.

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Responsibilities

• Build tools and promulgate best practices for rapid research iteration for researchers building cutting-edge AI systems
• Architect scalable data pipelines and user models for high-fidelity training, simulation, and performance evaluation
• Develop robust evaluation benchmarks, autoraters, and adversarial tests to measure and improve personalization quality
• Collaborate with research scientists and engineers to ship product features and provide technical leadership on high-impact projects
• Review code to ensure best practices and mentor team members on system design and engineering excellence. Define the technical vision and system architecture for key components, ensuring long-term scalability and maintainability.

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Requisition #: 92429040589120198

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