Summary
Google DeepMind are looking for a talented Research Scientist to join their team in Montreal dedicated to AI for Scientific Discovery. Specifically, the team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries.
About the Role
We are looking for a Research Scientist to lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. In this role, responsibilities will include making key contributions into the latest research developed in Google DeepMind Scientific Discovery effort, such as:
- Design, implement and evaluate models, agents and software prototypes of large foundational models.
- Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.
Accountabilities
- Design, implement and evaluate models, agents and software prototypes of large foundational models.
- Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous scientific discovery systems.
The Candidate we're looking for
Experience:
- PhD in Computer Science, Artificial Intelligence, or a related field.
Technical skills:
- Solid understanding of deep learning, natural language processing, and/or reinforcement learning.
- Experience with Large Language Models, preferably in the context of code synthesis.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
Personal attributes:
- A real passion for AI!
Benefits
- Competitive salary and benefits package.
- Opportunity to work with a talented team of researchers and engineers.
- Access to cutting-edge technology and resources.
- Flexible working hours and remote work options.
