Manager, Applied AI Engineering, DeepMind

Overview

In this role you will lead engineering teams to design, build, and deploy scalable generative AI applications. You will drive rapid feature development and iterate from evaluation results while mentoring engineers to foster a collaborative, high-performing culture. You’ll translate research advances into real-world product features, optimize performance, and ensure deployment reliability. From 0 to 1, you will shape architecture and lead cross-functional delivery to maximize impact for Google customers and projects at DeepMind.

Responsibilities

• Lead design, development, and deployment of scalable generative AI applications
• Drive rapid feature development and iterate based on evaluations
• Mentor team members to build collaboration and high performance
• Collaborate with researchers and product managers to translate research into product features
• Oversee software performance optimization and reliability of deployed apps
• Lead architecture and development of new products from concept to production
• Work across partner teams to deliver solutions and demonstrate model capabilities
• Lead engineering teams in early-stage environments and scale products from prototype to production
• Build and ship software while developing strong relationships with research teams

Key requirements

• 8 years of software development experience including system design, data structures, and algorithms
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (model deployment, evaluation, data processing, debugging, fine-tuning)
• 5 years in a technical leadership role with people management experience

• collaboration
• leadership
• mentoring
• TensorFlow
• PyTorch
• Hugging Face

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