2026 Fall Applied Science Internship - Automated Reasoning - United States, Phd Student Science Recruiting

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

PhD student internship focused on Automated Reasoning for cloud computing, involving research into novel approaches, development of solutions, and deployment into production. Expertise sought in theorem proving, SAT/SMT solvers, program analysis, and synthesis, with a potential link to ML/LLMs.

What you'd actually do

  1. Shape the Future of Cloud Computing
  2. Join our team of innovators and embark on a journey to revolutionize cloud computing through cutting-edge automated reasoning techniques.
  3. From distributed proof search and SAT/SMT solvers to program analysis, synthesis, and verification, you'll tackle complex challenges at the intersection of theory and practice, driving innovation and delivering tangible value to our customers.
  4. explore novel approaches to solving intricate automated reasoning problems.
  5. develop innovative solutions.
  6. deploying your solutions into production

Skills

Required

  • PhD student
  • Theorem Proving
  • Boolean Satisfiability Solvers
  • Bounded Model Checking
  • Deductive Verification
  • Programming/Scripting Languages
  • Abstract Interpretation
  • Automated Reasoning
  • Static/Program Analysis
  • Program Synthesis
  • Python
  • Java
  • C
  • C++
  • Knowledge Graphs and Extraction
  • Neural Networks/GNNs
  • Data Structures and Algorithms
  • Time Series
  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Large Language Models
  • Graph Modeling
  • Knowledge Graphs and Extraction
  • Programming/Scripting Languages

Nice to have

  • publications at top-tier peer-reviewed conferences or journals

What the JD emphasized

  • Automated Reasoning
  • automated reasoning techniques
  • automated reasoning problems
  • Automated Reasoning Applied Science Internships

Other signals

  • automated reasoning
  • theorem proving
  • SAT/SMT solvers
  • program analysis
  • program synthesis
  • deploying solutions into production