Director of Engineering, Google DeepMind, Singapore

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us

Google DeepMind is building its flagship applied AI team in APAC, headquartered in Singapore. We are seeking a foundational technical leader in an external facing role for this new venture. This is a unique opportunity to build and lead a world-class engineering team that will deploy our latest models into 1 P and 3 P products.

 This team will partner with Google's lighthouse enterprise customers and government clients in APAC to solve their most complex challenges using DeepMind's most advancedAI models. This role requires a hands-on, entrepreneurial leader motivated to tackle challenging technical problems and drive the technical direction for facilitating novel use cases using Google's most advanced generative AI models.

The Role

This is a hands-on role requiring a unique blend of systems architecture, product strategy, and deep technical expertise with AI. You will be responsible for two primary objectives that form a powerful dual mandate:

Drive Lighthouse Wins: Personally lead the technical strategy in engagements with C-suite executives to identify and deliver "art of the possible" AI solutions. You will architect novel systems, guide your team in deploying cutting-edge models, and create scalable playbooks to be handed off to the Google Cloud organization.

Inform Foundational Model Development: Act as the crucial bridge between the market and our core research teams. You will distill messy, real-world feedback on model performance and deficits into actionable insights that directly influence the roadmap for Google DeepMind's next generation of models.

Key Responsibilities:

• Act as the Technical Visionary: Build and lead the Applied AI engineering team in APAC, fostering a culture of rapid innovation, technical excellence, and hands-on building.
• Co-Lead Lighthouse Engagements: Collaborate with Product Management to personally lead the technical strategy in C-suite engagements, architecting novel solutions for the most complex challenges faced by strategic customers and government bodies.
• Create the Playbook for Scale: Design and build repeatable solution architectures and playbooks to be handed off to the Google Cloud organization, enabling broad market impact.
• Foster Cross-Functional Collaboration: Drive deep collaboration across product management, GDM research, and Google Cloud teams to deliver integrated, cutting-edge solutions that meet evolving enterprise needs.
• Shape the Future of Gemini: Act as the crucial bridge between the market and our core research teams. You will translate messy, real-world feedback on model performance into a concrete R&D agenda that directly influences the roadmap for Google DeepMind's next-generation models. Your team’s findings will be the proving ground that helps define what we build next.

About You

In order to set you up for success as a a Director of Engineering at Google DeepMind,  we look for the following skills and experience:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 15+ years of experience in software engineering, with a track record of architecting and building complex, large-scale systems on cloud platforms.
• 10+ years of experience in a people management role, with direct experience building and leading engineering teams that have shipped successful software products in a fast-paced environment.
• Experience with machine learning or AI-powered applications.
• A self-motivated executor who can quickly comprehend complex technologies and articulate Google DeepMind's viewpoint externally.

In addition, the following would be an advantage: 

• Master's degree or Ph.D. in Computer Science, Machine Learning, or a related field.
• Experience as a founder or in an early-stage startup environment, building a product or team from inception.
• Deep technical expertise in generative AI, including LLMs, fine-tuning techniques, and model orchestration.
• Experience in a client-facing or consulting role, architecting and delivering complex technical solutions for enterprise customers.
• Experience working with enterprise or government customers within the APAC region.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.