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San FranciscointernPosted 7mo ago

About the role

Assist in building and deploying production-grade AI systems by working closely with engineers and researchers on model development, system implementation, data pipelines, experimentation, evaluation, and cross-functional collaboration.

Responsibilities

  • Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
  • Help build and integrate AI-powered features into production systems
  • Work with datasets to support training, evaluation, and iteration
  • Run experiments, analyze results, and iterate on model performance
  • Contribute to evaluation frameworks and help track system performance
  • Work with engineering and product teams to support feature development

Qualifications

  • Currently pursuing a Bachelor’s or Master’s in Computer Science, Engineering, or a related field
  • Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
  • Understanding of basic machine learning concepts and workflows
  • Ability to break down problems and contribute to practical solutions
  • Strong desire to learn and contribute in a fast-paced environment

Skills

Required:PythonML frameworks (PyTorch, TensorFlow)Machine Learning fundamentalsProblem solvingCuriosity & Ownership
Last updated Mar 25, 2026. Interested? Apply on the company site.

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