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.
Requirements
We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models.
You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.
experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.
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 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.
In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience:
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 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.
Experience with generative AI research or applications.
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.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Additional details
This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.
The ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams. About us
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.
Partner with PM team to qualify & size new project opportunities. About you
Experience evaluating model performance, analyzing results, and implementing improvements. •
Excellent communication, collaboration, and leadership skills. Preferred Skills •
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.