Manager, Applied AI Engineering, DeepMind

Google LLC; Greater London; On-site; GBP 180,000 - 240,000; Full time

Job summary

Google DeepMind seeks a senior leader to guide the development and deployment of novel generative AI applications, translating research into real-world products. You will build and ship software, lead engineering teams, and collaborate with researchers and product managers across partners to maximize impact for Google and customers.

Focused on rapid feature development in early-stage environments, you will scale from concept to production, driving product strategy and ensuring safety and ethics

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years software development experience with system design, data structures and algorithms.
• 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
• 5 years in a technical leadership role with people management experience.

Responsibilities

• Lead scalable generative AI applications design, development, and deployment.
• Lead rapid feature development and mentor team to a collaborative, high-performing environment.
• Collaborate with researchers and product managers to translate research into tangible product features.
• Oversee optimization of software performance and reliability of deployed applications.
• Lead architecture and development of new products from 0 to 1.

Skills

Software development

Technical leadership

ML design

Education

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

Tools

ML infrastructure

Job description

Share Manager, Applied AI Engineering, DeepMind

corporate_fare DeepMind place London, UK

Preferred 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.

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.