At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity 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. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

We’ve built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year.

About us

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.

Our list of benefits is extensive, and we’re happy to discuss this further throughout the interview process.

The role

The mission of the Applied team is to ’Demonstrate the benefits and potential of Google DeepMind’s AI to the world’. We achieve this by closely collaborating with teams across Google & Alphabet, leveraging Google DeepMind Research to improve Alphabet’s products and services.

In this role, you will manage a team working on solving core product problems using large language models and other cutting-edge ML technologies. The project consists of a multi-functional team of engineers, product managers and program managers from both within our research team and from product partners at Alphabet. You would also work closely with Google DeepMind Research and Google AI teams on these projects. 

Key responsibilities:

• Lead a team of research engineers that will partner with Google DeepMind Research to bring our innovative machine learning to the world through Google / Alphabet products.
• Support and mentor individual contributors to build their careers, and strengthen team members in technical and non-technical areas.
• Support and enable the team to identify the most promising research advances and the products that will benefit from them.
• Deliver organisational projects that accelerate progress toward our mission.
• Build and maintain relationships with Google DeepMind Research and Google / Alphabet partner teams; understanding their objectives, collaborators, products, constraints, and systems.

About you

In order to set you up for success as a Research Engineering Lead at Google DeepMind, we look for the following skills and experience:

• BSc in Computer Science, Mathematics, Applied Statistics or Machine Learning or equivalent experience
• 2+ years of experience managing research-based engineering teams
• Experience working on NLP/NLU problems in an industry setting
• Knowledge of Python/C++, and modern ML libraries e.g. TensorFlow or JAX
• Experience working on projects from proof-of-concept through to implementation

In addition, the following would be an advantage: 

• MSc/PhD degree in computer science, mathematics, applied stats, machine learning or similar
• Management or individual contributor experience working on large-scale ML projects
• Experience working on state-of-the-art large language models
• Experience in applying experimental ideas to applied problems
• Cross functional collaboration experience
• Prior experience collaborating with researchers and working with product teams
• Entrepreneurial experience is desirable

The US base salary range for this full-time position is between $185,000 - $293,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.