Research Engineer, Applied Research Team, Mountain View

At 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

At DeepMind, 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 team

The Applied Research Team’s purpose is to enable and facilitate the use of AI systems in the real world. 

We formulate research questions inspired by applications and solve problems that block the safe and reliable deployment of AI. Our team partners with other teams in DeepMind on both applied and fundamental research projects. 

Our research is grounded in applications with a potential for broad impact. We seek opportunities to improve products with the help of AI. Our team builds expertise and gains insight on applications by working on high-impact projects. We identify specific barriers preventing practical use of AI in the real world and focus on targeted research efforts which, in the medium to long-term, are likely to have outcomes with a path to production even if their ultimate success is uncertain.

The role

Research Engineers work on a diverse and stimulating range of projects including: developing algorithms and prototype applications, providing software design and programming support to research projects, along with architecting and implementing software libraries.

Key responsibilities:

• Engage in team collaborations to meet ambitious research goals.
• Design, implement, and evaluate models, agents and software prototypes for real world AI.
• Architect and implement software libraries.
• Bridge the gap between fundamental research and products by addressing research questions arising in real world problems and integrating novel research into applications.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About you

To set you up for success as a Research Engineer at DeepMind, we look for the following skills and experience:

• MSc/MEng degree in  a technical field or equivalent practical experience.
• Proven research and engineering  experience following the completion of academic degree.
• Strong knowledge and experience of Python.
• Knowledge of machine learning and/or statistics and/or optimization.
• Strong knowledge of Deep Learning approaches ideally with exposure to Reinforcement Learning.
• Strong knowledge of algorithm design.
• Strong interest evaluating and demonstrating capabilities of AI in impactful applications.

In addition, the following would be an advantage:

• Experience with applying research to products.
• Working knowledge of Jax / Tensorflow / PyTorch  or similar frameworks.
• Experience with multi-threaded design and parallel/distributed computing.
• Experience with implementing numerical methods and data visualisation.
• Contributions to open source projects.
• Experience with Reinforcement Learning and its applications.

Competitive salary applies.