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Snapshot

The Applied team collaborates closely with a wide variety of teams across Google/Alphabet, leveraging DeepMind expertise to deploy advanced machine learning algorithms with the goal of improving Alphabet products and services. We are a driven, collaborative, diverse team based in London and Mountain View. Our current and past engagements include teams in Cloud, Android, Assistant, Youtube and Maps. We collaborate closely with DeepMind's and Google's Research teams on several projects. Each project typically consists of a team of engineers working closely with our product partners and with our researchers, product managers and program managers.


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

Key Responsibilities:

You’ll be applying the most promising models and research to high-impact real world problems, by rapid-prototyping initial concepts, and designing and running experiments to evaluate the opportunity. You will gain an understanding of the path from research to production whilst working on real world problems, with the chance to see your work make a difference. You’ll be part of a small project team led by Research Engineers, with the potential for partnership with research scientists and significant impact in the short term, and close mentorship from Applied leadership.

Some of our current projects e.g. MuZero for Video Compression are focusing on the areas below so experience in any of these is highly beneficial:

  • Natural Language Generation/Understanding
  • Multimodal Understanding
  • Reinforcement Learning
  • Causal/Counterfactual modelling
  • Time Series Forecasting
  • Meta Learning
  • Multitask Learning


About you

We seek out individuals who thrive in ambiguity and who are willing to help out with whatever moves prototypes forward. We regularly need to invent novel solutions to problems, and often change course if our ideas don’t work out, so flexibility and adaptability to work on any project is a must.

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

  • BSc, MSc or PhD/DPhil degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
  • Proven knowledge and experience of Python or C++.
  • Knowledge of machine learning and statistics.
  • Knowledge of algorithm design.
  • Proven experience of Tensorflow or similar ML frameworks (e.g. JAX) is highly desirable.
  • Software Engineering experience and experience working on large-scale ML projects highly desirable.
  • Proven experience working in industry, working on projects from proof-of-concept through to implementation highly beneficial.
  • A passion for AI.
  • Great communication skills and excellent interpersonal skills.

In addition, the following would be an advantage:

  • Experience in applying experimental ideas to applied problems.
  • Cross functional collaboration experience.
  • Prior experience collaborating with researchers.
  • Prior experience working with product teams.

What we offer

At DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to London and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).

Competitive salary applies.

 

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