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Google DeepMind · 4 days ago

Manager, Applied AI Engineering

Mountain View, CA

Full-time

Onsite

Senior Level, Lead/Staff

$197K/yr - $291K/yr

8+ years exp

Google DeepMind is a leading company in artificial intelligence, seeking a Manager, Applied AI to spearhead the development and deployment of innovative applications using generative AI models. The role involves leading a team to create scalable software solutions, collaborating with researchers, and mentoring engineers to drive product impact.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

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

Qualification

Machine LearningSoftware DevelopmentPythonTechnical LeadershipGenerative AICloud ComputingML FrameworksCommunication SkillsCollaboration SkillsLeadership Skills

Required

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

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

Benefits

Bonus

Equity

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010

London, England, GBR

501-1000 employees