Applied AI Engineering Manager: Generative ML Systems

Google DeepMind; Greater London; On-site; GBP 150,000 - 210,000; Full time

Job summary

Google DeepMind in London seeks an experienced ML engineering leader to drive the development and deployment of novel generative AI applications. You will build features rapidly, mentor engineers, and coordinate with researchers and product managers to translate research into real-world products.

You will lead engineering teams, shaping architecture and ensuring reliability while pushing the boundary of AI capabilities for billions of users.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8+ years in software development with system design and algorithms.
• 7+ years leading ML design and industry-scale ML infrastructure.
• 5+ years in technical leadership and people management.

Responsibilities

• Lead design, development and deployment of scalable generative AI applications.
• Mentor team members and foster a high-performing engineering culture.
• Collaborate with researchers and product managers to translate research into features.
• Oversee software performance and reliability of deployed apps.
• Drive architecture and development from concept to production.

Skills

Software development

System design

Data structures

Algorithms

Technical leadership

People management

ML design

Project strategy

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

TensorFlow

PyTorch

Hugging Face

Job description

Google DeepMind in London seeks an experienced ML engineering leader to drive the development and deployment of novel generative AI applications. You will build features rapidly, mentor engineers, and coordinate with researchers and product managers to translate research into real-world products.

You will lead engineering teams, shaping architecture and ensuring reliability while pushing the boundary of AI capabilities for billions of users.