Manager, Applied AI Engineering, DeepMind

Manager, Applied AI Engineering, DeepMind Overview

This role sits within Google DeepMind in London and is focused on leading the creation of new generative AI products and applications. The position is aimed at an engineering leader who can move quickly, work closely with research and product partners, and help turn advanced AI research into practical software that reaches users. The work combines hands-on technical leadership, team management, and product delivery, with a strong emphasis on building from early concept through to production and on demonstrating the value of the latest model capabilities in real-world settings.

The broader context for the role is Google DeepMind’s mission-driven AI work: the organization describes itself as a pioneering AI lab with interdisciplinary teams working to advance AI for complex global challenges, scientific discovery, and product innovation at scale. Safety and ethics are presented as central priorities, and the team environment is described as global, collaborative, and oriented toward high-impact outcomes.

What you will do

• Lead a team that designs, develops, and deploys scalable generative AI applications, while setting and reinforcing strong industry-standard engineering practices.
• Drive rapid feature development and use evaluation findings to guide iteration, while also mentoring team members and helping shape a supportive, high-performing culture.
• Partner with researchers and product managers to convert research progress into concrete product features and user-facing capabilities.
• Own the optimization of software performance and the dependability of deployed systems so that applications remain reliable in production.
• Take products and features from initial idea through architecture, implementation, and launch, including early-stage 0-to-1 development.
• Help translate AI research into practical products and showcase what the newest generation of models can achieve.
• Build and ship software while leading engineering teams, with a focus on delivering measurable product and business impact.
• Develop and maintain strong working relationships with research teams to ensure technical direction stays aligned with innovation goals.

What the role requires

• A bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• Substantial software engineering experience, including at least 8 years working with software development, system design, data structures, and algorithms.
• Deep machine learning and technical strategy experience, including at least 7 years leading technical project direction and improving large-scale ML infrastructure such as deployment, evaluation, data processing, debugging, and fine-tuning.
• At least 5 years of experience in a technical leadership capacity overseeing projects, together with 5 years of people management or team leadership experience.
• Experience in one or more relevant ML areas, such as media generation, reinforcement learning or other sequential decision-making systems, ML infrastructure, or another specialized machine learning field.
• Experience working with generative AI research or building applications that use generative AI.
• Ability to evaluate model performance, analyze outcomes, and implement improvements based on those results.
• Hands-on familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face.
• A history of shipping software products quickly and effectively.
• Contributions to open-source software projects.
• Strong leadership qualities for guiding machine learning engineering teams in a fast-moving environment.
• Comfort working in settings where early-stage product development, scaling to production, and close collaboration with research are all important.
• English proficiency, as Google states that English is required for all roles unless the posting explicitly says otherwise.

Additional context

The posting emphasizes that the successful candidate will be a passionate machine learning engineering leader who wants to build innovative products at the forefront of AI. It also highlights the importance of working across partner teams to maximize impact for Google and Google customers, and of helping demonstrate the capabilities of the newest models through real product work.

Google also notes that applicants may request accommodations if needed during the hiring process. The company further states that it does not accept agency resumes and will not be responsible for fees related to unsolicited submissions.

Compensation-related equity may be granted by Alphabet at its discretion, subject to approval by the board or its delegate, the relevant stock plan, and the grant agreement. The posting explains that such grants are not guaranteed and do not affect statutory payments.

Equal opportunity and privacy

Google states that it is an equal opportunity and affirmative action employer and says it is committed to building a workforce that reflects its users and supports a culture of belonging. The posting also references the company’s privacy policy for applicants and candidates, along with its equal opportunity, anti-discrimination, and hiring information.

How to apply

The page is a Google Careers listing for the Manager, Applied AI Engineering, DeepMind role in London. Applicants are directed to use the Google Careers application process on the job page. The posting also includes options to copy the link or email the listing to a friend.

Degree Requirement: Bachelor’s

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