Manager, Applied AI Engineering, DeepMind

Manager, Applied AI Engineering, DeepMind Overview

In this position, you will take charge of the development and deployment of innovative applications utilizing Google’s generative AI models. Your focus will be on swiftly creating new features and collaborating with partner teams to deliver impactful solutions for both Google and its customers. You will play a crucial role in transforming AI research into practical products, showcasing the capabilities of cutting-edge models.

Your responsibilities will include leading a team in the design, development, and deployment of scalable generative AI applications, while advocating for industry best practices. You will guide your team through the rapid development of new features, iterating based on evaluation results, and mentoring team members to cultivate a collaborative and high-performing environment. Collaboration with researchers and product managers will be essential to translate research advancements into tangible product features. Additionally, you will oversee the optimization of software performance and ensure the reliability of deployed applications, directing the architecture and development of new products and features from concept to production.

To qualify for this role, you should possess a Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or have equivalent practical experience. You must have at least 8 years of software development experience, including system design, data structures, and algorithms. Furthermore, you should have a minimum of 7 years of experience leading technical project strategy, machine learning design, and optimizing large-scale machine learning infrastructure, along with 5 years of experience in a technical leadership role that includes people management and team leadership.

Preferred qualifications include 5 years of experience in areas such as media generation, reinforcement learning, machine learning infrastructure, or specialization in another machine learning field. Experience with generative AI research or applications, evaluating model performance, analyzing results, and implementing improvements is also desirable. Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Hugging Face, as well as experience in rapidly developing and shipping software products, will be beneficial. Contributions to open-source projects are a plus.

At Google DeepMind, we are committed to advancing AI development to address complex global challenges and drive high-quality product innovation for billions of users. We prioritize safety and ethics in our work, ensuring that our technologies benefit the public and contribute to scientific discovery. Join us to be part of a pioneering AI lab with exceptional interdisciplinary teams dedicated to achieving outstanding results through collective effort.

Degree Requirement: Bachelor’s

Visa Sponsorship Promising