Manager, Applied AI Engineering, DeepMind

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

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 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 (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 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 (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.

Preferred qualifications

• 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience with generative AI research or applications.
• Experience evaluating model performance, analyzing results, and implementing improvements.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
• Experience in developing and shipping software products rapidly.
• Contributions to open-source projects.

About the job

In this role, you will lead the development and deployment of novel applications, leveraging Google's generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and Google customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models. You will be building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. You will drive product and business impact, and develop strong relationships with research teams.

You will be a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.

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

• Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices.
• Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Oversee the optimization of software performance and ensure the reliability of deployed applications.
• Lead the architecture and development of new products and features from 0 to 1.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.