Data Analysis Intern

JOB DESCRIPTIONAbout NIONIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.NIO’s product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.Roles and Responsibilities:Curate, preprocess, and analyze training data for LLM projectsAssist in training, tuning, and evaluating language models for specific use casesDevelop and test Python code to interact with LLM APIs and internal toolsParticipate in improving model workflows through research and implementation of new methodsContribute to integration tasks, connecting AI models with external systems or applicationsCollaborate with team members for project deliverables, documentation, and code reviewsPrepare research summaries or surveys on relevant topics in LLM and generative AIQualificationsCurrently pursuing or recently completed a Master or PhD degree in Computer Science, Data Science, Engineering, or a related fieldExperience with Python programming; knowledge of libraries such as PyTorch or TensorFlow is an advantageFamiliarity with API usage and/or web frameworks is preferredStrong problem-solving mindset and willingness to learnExcellent written and verbal communication skillsPrevious project or coursework experience in LLMs, generative models, or AI researchKnowledge of prompt engineering, model fine-tuning, or related evaluation techniquesExperience working in a collaborative software engineering environmentCompensation: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. #J-18808-Ljbffr