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We are seeking an experienced and hands-on Tech Lead Manager to lead a small team of research engineers focused on customising Gemini to create new product experiences at Google. You will play a crucial role in designing, experimenting, and deploying new Gemini powered experiences at Google. This role requires hands-on experience with Google technology stacks (or open-source equivalents), strong knowledge and experience with machine learning fundamentals, a passion for prototyping, and an excitement to build, develop and lead high-performing teams.

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 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 a Tech Lead Manager in the Product Impact Unit, you will be a hands-on leader of a team of talented research engineers creating new product experiences powered by Gemini. This includes collaborating with research teams to create new Gemini capabilities, working with product teams to develop new experiences, and strategies to streamline the release of research advances into products.

This role is crucial for accelerating the delivery of Gemini to Google products. You will have the opportunity to shape the future of AI at Alphabet by driving innovation in product experiences powered by Gemini, ultimately impacting users at the Alphabet scale across a diverse range of applications.

• Lead and manage a team of research engineers: Foster a collaborative and high-performing environment, providing mentorship and guidance to team members. Actively invest in their professional development through regular feedback, coaching, and opportunities for growth.
• Work closely with product teams: Collaborate on technical direction setting and ensure alignment with overall deployment strategy. Provide input based on your domain knowledge and experience.
• Drive technical excellence in Gemini product development: Oversee the development and implementation of strategies for optimizing model implementation and serving infrastructure. Leverage your domain expertise to guide technical decisions and ensure best practices are followed.
• Lead from the front: Proactively build prototypes, and experiment with new ideas to enable Gemini to power new product experiences.
• Track and measure progress: Define and monitor key performance metrics to assess the effectiveness of Gemini in products and identify areas for improvement, design new measurement approaches that push state-of-the-art in combining human and AI-based evaluation.
• Champion a culture of collaboration and innovation: Encourage experimentation and creative problem-solving within the team.
• Stay abreast of industry trends: Continuously evaluate emerging technologies and best practices to maintain a competitive edge.

You will have a chance to make a significant impact on the Google DeepMind mission by identifying, and building transformative solutions for fundamental product challenges. You will provide team and thought leadership, influencing our long-term 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 an Tech Lead Manager at Google DeepMind, we look for the following skills and experience:

• A degree in computer science, AI or equivalent experience.
• Experience of managing small to mid-sized teams (between 3 and 6 Software Engineers and/or Research Engineers), including a proven ability to optimize for efficiency and effectiveness.
• Experience in working with machine learning or high performance computing at scale.
• Experience working with researchers and engineers working in research domains.
• Experience with deployment in production environments.
• Experience and comfort working in and leading within a highly collaborative and interdisciplinary environment.
• Experience leading a team that collaborates across time zones, primarily between California and the U.K.

In addition, the following would be an advantage: 

• Deep understanding of LLM technologies and the challenges associated with their deployment.
• Knowledge of machine learning and/or statistics.
• Experience in rapid deployment environments, especially to customers at scale.
• Coaching and mentoring qualifications / experience.
• Project management qualifications / experience.

Please include a cover letter when applying and tell us how you can make a difference to our team.