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    Data Analysis Intern

    NIO · San Jose, California, United States

    rollingOn-sitePaidPosted 2026-06-03
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    About the role#

    NIO is seeking a Data Analysis Intern to support our work in the automotive industry. This is a full-time, paid, on-site position based in San Jose, California. The role is available on a rolling basis.

    What you'll do#

    • Curate, preprocess, and analyze training data for LLM projects.
    • Assist in training, tuning, and evaluating language models for specific use cases.
    • Develop and test Python code to interact with LLM APIs and internal tools.
    • Collaborate with team members on project deliverables, documentation, and code reviews.
    • Prepare research summaries and surveys on topics related to LLMs and generative AI.
    • Improve model workflows through research and implementation of new methods.
    • Contribute to integration tasks by connecting AI models with external systems or applications.

    What you'll need#

    • Currently pursuing or recently completed a Master or PhD degree in Computer Science, Data Science, Engineering, or a related field.
    • Proficiency in Python programming, with an advantage if you have experience using PyTorch or TensorFlow.
    • Familiarity with API usage and web frameworks.
    • Prior project or coursework experience in LLMs, generative models, or AI research.
    • Knowledge of prompt engineering, model fine-tuning, or related evaluation techniques.
    • Experience working in a collaborative software engineering environment.
    • Strong problem-solving skills and excellent written and verbal communication.

    Location & details#

    • Location: San Jose, California, United States.
    • Modality: On-site.
    • Compensation: $38.00 - $46.00 per hour, based on location, skills, experience, and education.
    Relevant fields:Computer ScienceData ScienceComputer Engineering

    About NIO

    NIO is a public automotive company established in 2014 and headquartered in Jiading, Shanghai. The organization employs over 10,000 people and focuses on the research, development, and manufacturing of premium smart electric vehicles. Its technical operations center on autonomous driving systems, electric powertrains, and battery technology, including specialized battery swapping services. The company offers a diverse range of electric SUVs, sedans, and coupes to the consumer market.

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