Eliseai

Senior Research Scientist

New York City. Posted 28 months ago

The role

You will own end-to-end research initiatives in machine learning and large language models. You will work on predictive models, systematic analysis of large data, and shaping the company research agenda.

What you will do

  • Identify open questions in tenant engagement, conversational AI, and LLM safety
  • Turn questions into road-mapped projects
  • Design experiments, build prototypes, and run large-scale evaluations
  • Drive projects through to production launch
  • Coach junior scientists
  • Review code
  • Raise the technical bar across the team
  • Partner with engineering, product, and GTM to translate research outcomes into customer-visible features

Required qualifications

  • Ph.D. in Mathematics, Theoretical Physics, Computer Science, or a related field
  • Five years of post-PhD experience (either industry of academia)
  • Strong foundation in machine learning algorithms, statistical analysis, and data modeling
  • Proven track record of developing and implementing machine learning models
  • Demonstrated ability to apply analytical thinking and problem-solving skills to real-world challenges
  • Proficiency in programming languages such as Python, R, or similar
  • Experience in machine learning libraries and frameworks
  • Willingness to work in person at our office 4-5 days a week

Nice to have

  • Established academic record
  • Experience in an academic or research setting

Benefits

  • Equity in the company
  • Medical, Dental and Vision premiums covered at 100%
  • Fully paid parental leave
  • Commuter benefits
  • 401k benefits
  • Fitness & home services stipend
  • Collaborative in-office environment with an open floor plan
  • Fully stocked kitchen
  • All meals covered in the office
  • Unlimited vacation
  • Paid holidays
  • Relocation packages

About the company

EliseAI improves the housing and healthcare industries by integrating AI agents into existing workflows. The company recently raised a $350 million funding round at a $4 billion valuation.