Research Scientist, General Agents - Toronto, Canada
Toronto, Canada
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...Toronto, Canada
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
Contribute to building generalist goal-driven agents that can interact with both real-world and simulated environments.
About us
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.
The role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
In this role you will be joining a team focused on advancing the state-of-the-art in general goal-achieving agents. You should be passionate about artificial intelligence and building general-purpose learning algorithms. You will contribute to ambitious research projects by developing new algorithms, infrastructure and data sets, conducting large-scale experiments, and analyzing and communicating results. Our working environment fosters learning and development, so you will have the opportunity to take on more ambitious projects over time.
Key responsibilities
- Design, implement and evaluate new algorithms and models in a large-scale setting.
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Engage in team collaborations to meet ambitious research goals.
- 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
In order to set you up for success in this role we are looking for the following skills and experience:
- PhD in a technical field or equivalent practical experience.
- Experience implementing and conducting experiments with large-scale deep learning systems or large-scale agents.
In addition, the following would be an advantage:
- PhD in machine learning or computer science.
- A proven track record of research and publications in some of the following areas: foundation models, large-scale agents, reinforcement learning, self-improvement, world models, meta-learning.
- A real passion for AI!
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.
Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning Machine Learning PhD Privacy Reinforcement Learning Research
Perks/benefits: Career development
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