Senior Research Scientist

  • Remote - Worldwide

Remote

Data

Senior

Summary

Join EliseAI, a cutting-edge conversational AI technology company, as a world-class Machine Learning consultant on a consultancy basis. As an academic with a strong mathematical and quantitative background, you will work on cutting-edge research in machine learning and large language models, develop predictive models to enhance our AI capabilities, build controlled systematic analysis of large data, and more.

Requirements

  • Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
  • Strong preference for candidates with an established academic record
  • Strong foundation in machine learning algorithms, statistical analysis, and data modeling
  • Proven track record of developing and implementing machine learning models, preferably in an academic or research setting
  • Demonstrated ability to apply analytical thinking and problem-solving skills to real-world challenges
  • Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks
  • Ability to work on a contractor basis, providing flexibility in hours and project engagement

Responsibilities

  • Develop and refine machine learning models to predict outcomes such as tenant engagement and leasing likelihood
  • Conduct comprehensive analyses to support decision-making and improve the effectiveness of our AI solutions
  • Apply advanced mathematical and machine learning techniques to solve specific problems such as optimizing tenant engagement strategies, predicting tenant behavior, and improving customer interaction processes
  • Stay abreast of the latest research in machine learning and AI, and apply innovative approaches to improve our products
  • Work closely with cross-functional teams, including engineering, product development, and data science, to integrate and deploy machine learning models
  • Work with the latest Large Language Models to leverage the power of generative AI on production scale data
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