Maluuba at AAAI-17 in San Francisco

Maluuba research is looking forward to taking part in the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) from February 4-9.

Vikas Gosain, our hiring manager, Romain Laroche, research scientist and Kaheer Suleman, co-founder and CTO are looking forward to meeting you during the event and at our booth.

Book on your calendar Monday February 6 between 3pm and 6pm: Romain Laroche will present his work on "Transfer  Reinforcement  Learning  with  Shared  Dynamics".

 

WE’RE HIRING!

Maluuba has a number of opportunities for Research Scientists and Engineers in our research Lab. We’re tackling reasoning, decision-making and communication in machines through groundbreaking research. We’re focused on three core areas:

 

Machine Reading Comprehension

Our MRC team works to build literate machines. We’re using deep learning and reinforcement learning techniques to train agents that seek information in unstructured text and reason about it to deliver answers to users.

Advanced Conversational Systems

Building a conversational agent involves solving many problems, from understanding natural language and decision making to generating natural language. Our goal is to build systems which are knowledgeable and that can exchange information with users to help users accomplish tasks or gain knowledge.

Reinforcement Learning

An intelligent machine should be able to make decisions and learn from environmental feedback similar to humans. In contrast to supervised learning the agent does not require examples of correct or incorrect behaviour in reinforcement learning. Instead, it can improve its behaviour by itself by interacting with the environment and observing the rewards it gets for its actions.

 

We’re based in Montreal, a global hub for AI research and one of North America’s most dynamic cities. If you’re interested in learning more about Maluuba, please come and see us at AAAI-17 or contact us.

 
 
Research, Culture, CompanyPaul Gray