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Intern Engineer - Optimization and AI

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Job Description - 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


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
Original job Intern Engineer - Optimization and AI posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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