Manager, Applied AI Engineering

Reposted 5 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence
The Role
Lead the development and deployment of AI applications, manage engineering teams, and translate AI research into products while ensuring software quality.
Summary Generated by Built In
Snapshot

We are seeking a Manager, Applied AI to 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 & top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of 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. The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.

About us

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.

The role

This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code & guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.

Key responsibilities

  • Lead a team in the design and development of scalable software applications leveraging generative AI models.
  • Guide the team in rapidly developing new features and iterating based on evaluation results.
  • 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.
  • Champion the development of best practices for building and deploying generative AI applications.
  • Lead the architecture and development of new products & features from 0 to 1.
  • Mentor and develop team members, fostering a collaborative and high-performing environment.
  • Partner with PM team to qualify & size new project opportunities.
About you

In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience:

Required Skills

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  • 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.
  • 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).
  • Proven experience managing software engineering teams.
  • Strong software engineering skills; proficiency in Python.
  • Proven experience in developing and shipping software products rapidly.
  • Experience evaluating model performance, analyzing results, and implementing improvements.
  • Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
  • Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Excellent communication, collaboration, and leadership skills.

Preferred Skills

  • Experience with generative AI research or applications.
  • Contributions to open-source projects.
  • Experience with front-end development.
  • Experience working in, or founding early-stage startups.
  • Experience delivering software solutions in a fast-paced, customer-facing environment.

If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!

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 opportunities 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.

Skills Required

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages.
  • 5 years of experience in a technical leadership role; overseeing projects, plus 5 years in people management.
  • 7 years of experience leading technical project strategy and optimizing ML infrastructure.
  • Strong software engineering skills; proficiency in Python.
  • Experience evaluating model performance and implementing improvements.
  • Experience with cloud computing platforms and infrastructure.
  • Experience with machine learning frameworks and libraries.
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The Company
1,218 Employees
Year Founded: 2010

What We Do

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. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.

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