Research Scientist, Scalable Deep Learning

Mountain View, California, US

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DeepMind

Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.

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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 years!

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

The Scalable Deep Learning team develops architectures and methods that reliably benefit from increases in data, model size and computational resources. We combine new architectures, theoretical insights and world-class engineering to expand the capabilities of DeepMind's large-scale models.

The role

Research Scientists at DeepMind develop novel architectures, algorithms and theoretical insights that bring us closer to our goal of solving and building Artificial General Intelligence.

Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join DeepMind to work collaboratively within our research teams. They develop solutions to fundamental questions in machine learning, computational neuroscience and AI.

Key responsibilities:

  • Design, implement and evaluate scalable deep learning methods
  • Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
  • Collaborate with the team to meet ambitious research goals.

About you

Essential:

  • Experience writing research code in Python.
  • PhD in a technical field or equivalent practical experience.
  • An interest in the engineering of large-scale deep learning systems

Nice to haves :

  • Previous experience with Transformer models or large-scale deep learning.
  • PhD in machine learning, neuroscience or computer science.

Competitive salary applies 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Computer Science Deep Learning Engineering Industrial Machine Learning PhD Python Research

Perks/benefits: Competitive pay

Region: North America
Country: United States

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