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Research Scientist - Information Theory and Statistical Inference

Evolver
Location
Palo Alto, California
Posted
10 days ago
Department
Lab
What they actually want (must-haves)
  • Ph.D. or thesis-based Master's degree in a quantitative field
  • Strong mathematical foundation in probability, statistics, information theory, or statistical inference
  • Research experience in information theory, Bayesian or statistical inference, uncertainty quantification, or related areas
  • Strong Python, MATLAB, or equivalent scientific computing skills
  • Ability to translate mathematical concepts into computational methods and working prototypes
Nice to have
  • Experience with information bottleneck methods, sufficient statistics, or rate-distortion theory
  • Experience working with large-scale, noisy, heterogeneous, or partially observed data
  • Research publications or demonstrated research impact
  • Experience connecting theoretical methods to real-world data or decision-making problems
  • Familiarity with modern machine learning or representation learning
What the job really is

As a Research Scientist at Evolver, you will focus on developing methodologies to transform large-scale enterprise data into decision-relevant information. Your work will involve applying information theory and statistical inference to quantify information content and uncertainty, as well as building algorithms and prototypes for information-aware AI systems. Collaboration with research, engineering, and product teams will be essential to translate your methodologies into practical applications.

Things to weigh
  • No salary listed
  • Focus on mathematical depth and research ability over years of experience may appeal to recent graduates
  • The role involves collaboration across teams, which may require strong communication skills
Job score2.8/5
Benefits1/5
Freshness5/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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