Manager, Applied AI Engineering, DeepMind

In this role you lead the team and shape the development of scalable generative AI applications, driving rapid feature delivery and mentoring a high-performing group. You partner with researchers and product managers to convert research advances into tangible product features while ensuring reliability and performance of deployed systems. You own architecture and product development from concept to production, collaborating across teams to maximize impact for Google and its customers. You will translate AI research into real-world products and help demonstrate the capabilities of next-generation models, while prioritizing safety and ethics.

• Lead the design, development, and deployment of scalable generative AI applications
• Drive rapid feature development, iterate on results, and mentor the team to maintain collaboration and performance
• Collaborate with researchers and product managers to translate research into product features
• Oversee software performance optimization and ensure reliability of deployed applications
• Lead architecture and development of new products and features from 0 to 1
• Work with partner teams to deliver cross-functional solutions and maximize impact
• Translate AI research into real-world products and demonstrate capabilities of latest models
• Build and ship software while guiding engineering teams, including early-stage scaling from concept to production

• 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
• 5 years of experience in a technical leadership role and 5 years in people management / supervision

• leadership and people management
• collaboration and cross-functional communication
• mentoring and team development
• machine learning frameworks such as TensorFlow, PyTorch, Hugging Face
• ML infrastructure, model deployment, model evaluation, data processing
• debugging, fine-tuning, and iterative optimization