Google DeepMind · London
Manager, Applied AI Engineering
4.8.2025
Description
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.
Qualifications
- 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.
- 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.