NIO

Data Analysis Intern

NIO • $79K — $95K *
San Jose, CA 95123In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's or PhD student/recent graduate in Computer Science, Data Science, Engineering, or similar field
  • Proficient in Python; experience with PyTorch or TensorFlow is a plus
  • Familiar with API usage or web frameworks
  • Strong problem-solving skills and eagerness to learn
  • Excellent communication skills, both written and verbal
  • Hands-on experience with LLMs, generative models, or AI research from projects or coursework
  • Knowledge of prompt engineering and model fine-tuning

Responsibilities

  • Curate and preprocess training data for LLM projects
  • Assist in training and tuning language models tailored to specific applications
  • Develop and test Python code to interact with LLM APIs and tools
  • Enhance model workflows through research and new method implementation
  • Integrate AI models with external systems or applications
  • Collaborate with team on deliverables, documentation, and code reviews
  • Prepare and present research summaries on LLM and generative AI topics

Benefits

  • Flexible working hours
  • Opportunity for hands-on experience with LLM and AI technology
  • Collaborative work environment
  • Access to research materials and professional development resources
  • Potential for mentoring from experienced professionals
Full Job Description
JOB DESCRIPTION

Roles and Responsibilities:
  • 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
  • Participate in improving model workflows through research and implementation of new methods
  • Contribute to integration tasks, connecting AI models with external systems or applications
  • Collaborate with team members for project deliverables, documentation, and code reviews
  • Prepare research summaries or surveys on relevant topics in LLM and generative AI


Qualifications
  • Currently pursuing or recently completed a Master or PhD degree in Computer Science, Data Science, Engineering, or a related field
  • Experience with Python programming; knowledge of libraries such as PyTorch or TensorFlow is an advantage
  • Familiarity with API usage and/or web frameworks is preferred
  • Strong problem-solving mindset and willingness to learn
  • Excellent written and verbal communication skills
  • Previous 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


Compensation:

The US base salary range for this full-time position is $38.00 - $46.00.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.

About NIO

NIO Inc. designs, manufactures, and sells electric vehicles in the People's Republic of China, Hong Kong, the United States, the United Kingdom, and Germany. The company offers five, six, and seven-seater electric SUVs. It is also involved in the provision of energy and service packages to its users; marketing, design, and technology development activities; manufacture of e-powertrains, battery packs, and components; and sales and after sales management activities. The company was formerly known as NextEV Inc. and changed its name to NIO Inc. in July 2017. NIO Inc. was founded in 2014 and is headquartered in Shanghai, China.
Learn more about NIO
Size
15,204 employees
Market Cap
$17.2 billion
Industry
Manufacturing & Automotive
Net Income
-$7 billion
Founded
2014
Revenue
$12.4 billion
NASDAQ
NIO
* Ladders Estimates

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