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Engineer Intern, GenAI Research – Summer Internship

AI Research ScientistMachine Learning EngineerInternshipRemoteTeam 501-1,000Since 1996H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

26 days ago

Salary

Not specified

Postgraduate DegreeEnglishAWSAzureCloudOpen SourcePython

Job Description

• Design and implement a lightweight supervised fine tuning training pipeline using open source LLMs. • Create new benchmarks to evaluate frontier models across defined scientific and performance criteria. • Analyze production models to identify measurable areas for improvement. • Improve model performance through targeted retraining and hyperparameter search. • Deploy improved models while maintaining core model characteristics and avoiding regression. • Build Python tooling to automate training, evaluation, benchmarking, and experimentation workflows. • Implement structured evaluation methods, including rubric based scoring and LLM as a judge workflows. • Document experimental design, benchmark methodology, and performance results with clarity and precision. • Iterate rapidly in a research driven environment to increase model quality and reliability.

Job Requirements

  • Current enrollment in or recent completion of a Master’s or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a closely related technical field.
  • Strong experience working with large language models, including supervised fine tuning, prompt engineering, or model evaluation.
  • Hands on experience building machine learning pipelines or research infrastructure.
  • Experience improving model performance through retraining or hyperparameter tuning.
  • Proficiency in Python and comfort working with machine learning frameworks and open source model ecosystems.
  • Familiarity with cloud environments such as AWS or Azure.
  • Strong technical problem solving ability, including use of LLMs as development aids for building and iteration.
  • Ability to work independently with minimal hand holding.
  • Strong written communication skills for summarising research and drafting technical documentation.
  • Ability to collaborate effectively in a remote research environment.

Benefits

  • Duration: June-August
  • Schedule: Full-time
  • Work Type: Remote

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