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We are seeking an experienced Engineering Manager to lead a team of engineers and researchers focused on optimizing the deployment of large AI models across Alphabet. You will play a crucial role in streamlining the research-to-production pipeline, and ultimately accelerating the delivery of cutting-edge AI deployments. This role requires expertise in developing and leading experts in LLM architecture, serving infrastructure, and production-level C++ development, as well as a passion for building and leading high-performing teams. As the team's engineering lead, you will play a vital role in maximizing the team's overall impact.
Artificial Intelligence could be one of humanity’s most useful inventions. At 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.
As an Engineering Manager in the Research Deployment space, you will lead a team of talented software and research engineers in tackling the complex challenges of deploying large language models (LLMs) at scale. Your team will be responsible for optimizing the entire LLM deployment lifecycle, ensuring both efficiency and quality. This includes collaborating with research teams to ensure models are production-ready, working with infrastructure teams to optimize the serving environment, and developing strategies to streamline the release process of cutting-edge work.
You will work in close partnership with Technical Leads who provide technical direction and ensure alignment with broader LLM development goals.
This role is crucial for accelerating the delivery of cutting-edge AI. You will have the opportunity to shape the future of AI at Alphabet by driving innovation in research deployment, ultimately impacting users at the Alphabet scale across a diverse range of applications.
You will have a chance to make a significant impact on the Google DeepMind mission by identifying, and building transformative solutions for fundamental engineering challenges. You will provide team and thought leadership, influencing our long-term engineering direction and contributing through a range of high impact initiatives in a critical strategic space for Alphabet.
The role will suit candidates who enjoy working with state-of-the-art AI in a fast-moving and dynamic space, and have a passion for collaborative problem domains. You should exhibit exceptional creativity when approaching difficult or ambiguous problems, distilling big-picture challenges into tractable projects for your engineers and elevating others to succeed.
In order to set you up for success as a Software Engineer at DeepMind, we look for the following skills and experience:
In addition, the following would be an advantage:
Please include a cover letter when applying and tell us how you can make a difference to our team.
Application deadline: 5pm BST, Friday 3rd May 2024
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