Lead Research Scientist – Knowledge Representation and Reasoning

Automated systems are destined to change the way the finance world operates.

Yet current systems are still way behind the human-level of comprehension. At the same time, humans can’t process as fast as systems.

One of the largest investment banks in the world is building out systems to compete with human expertise. Combining fundamental research in knowledge representation and reasoning with ‘new’ AI to take a leap forward in machine intelligence.

They’re looking for a lead KRR researcher to lead research projects and teams.

To be considered, you’ll have:

  • A Ph.D. in Computer Science, Machine Learning, or equivalent with a specialism in Knowledge Representation and Reasoning, Formal Logic, Constraint Solving for language, or equivalent.
  • An extensive list of publications from leading conferences such as; AAAI, NeurIPS, ACL, EMNLP, KDD, et al
  • Proven industrial research experience –  7 years minimum
  • Experience leading research projects from ideation to implementation
  • People management experience

Country: USNY

City: Manhattan


Type: Research

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