Manager, Applied AI Engineering, DeepMind

Google Inc.; Greater London; On-site; GBP 150,000 - 230,000; Full time

Job summary

Google DeepMind London is seeking an experienced ML engineering leader to drive the development and deployment of novel generative AI applications. You will translate cutting-edge research into real-world features and lead engineering teams across partner groups to deliver impactful solutions at scale.

You will push for rapid feature development, iterating on evaluation results, mentoring staff, and ensuring robust performance of deployed systems in production environments.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, CS, or related field or equivalent practical experience.
• 8 years software development experience including system design, data structures and algorithms.
• 7 years leading technical project strategy, ML design, and ML infra optimization.
• 5 years in a technical leadership and people management role.

Responsibilities

• Lead design, development and deployment of scalable generative AI applications.
• Drive rapid feature development, iterate on results, mentor team members.
• Collaborate with researchers and product managers to translate research into product features.
• Oversee software performance and reliability of deployed apps.
• Lead architecture and development of new products from 0 to 1.

Skills

Software development

System design

Algorithms

Leadership

Education

Bachelor's degree in Electrical/Computer Engineering or CS

Tools

TensorFlow

PyTorch

Hugging Face

Job description

DeepMind London, UK

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.