Intern Engineer - Optimization and AI

Our team has an immediate 6-month internship opening for a researcher.

Responsibilities:

• Design and implement effective optimization algorithms for large-scale problems.
  
• Write high-quality, efficient Python code with close attention to computational complexity and memory usage.
  
• Run experiments with large language models on GPUs.
  
• Conduct research on algorithmic improvements and engage in discussions on the mathematical foundations of optimization problems.
  
• Read and synthesize recent academic papers related to LLMs and optimization.

The target annual compensation (based on 2080 hours per year) ranges from $93,000 to $116,480  depending on education, experience and demonstrated expertise

Requirements

What you’ll bring to the team:

• Master's or PhD degrees in Computer Science, Operations Research, Industrial Engineering, or relevant backgrounds or equivalent experience.
• Proficiency in Python programming (experience with PyTorch)
• 
  Experience with asymptotic analysis of algorithms, and memory management
• Familiarity with operations research (heuristic optimization, integer programming)
• Experience with version control (Git)
• Desire to stay current by reading scientific papers related to the project's topic
• Experience with CPU and GPU parallelism is an asset.
• Exposure to or practical experience with LLM inference optimization and heuristic algorithms