Senior Large Language Model Researcher
2 weeks ago
Job Summary
Cummins Inc. is seeking an undergraduate or graduate student for an in-depth research opportunity in the Data Science and Artificial Intelligence Department. This position will cover the exploration and practice of Large Language Models (LLM) to vertical scenarios of automotive and industrial domains.
Main Responsibilities
- Collect and collate domain data: collate texts, codes, data, etc. related to automotive/industrial domain, and clean, annotate and collate them to provide high-quality data base for training and application of Large Language Models.
- Design and implement the application solutions of the Large Language Model: Design and implement the solutions based on the Large Language Model according to the specific application scenarios, such as intelligent customer service system, automatic Q&A system, fault diagnosis system, etc.
- Develop and optimise the training and inference process of the large language model: optimise the training and inference process of the large language model to improve the efficiency, accuracy and interpretability of the model.
- Evaluating and analysing the effectiveness of Large Language Models: Evaluating and analysing the effectiveness of Large Language Models in automotive and industrial applications, and improving and optimising them based on the results.
- Write technical documents and reports: Write documents and reports on the research and development of Large Language Models for automotive and industrial applications, documenting the results of the work and lessons learnt.
- Present compelling and proven stories to team members and stakeholders throughout and after the internship.
Qualifications and Competencies
- Undergraduate or graduate student in Computer Science/Data Science/Artificial Intelligence or related disciplines: Solid knowledge of computer science fundamentals and familiarity with data structures, algorithms, programming languages, etc.
- Familiarity with Natural Language Processing (NLP) technologies: Understanding of basic NLP concepts such as word embedding, language modelling, text classification, machine translation, etc.
- Familiar with technologies related to Large Language Modelling (LLM): Understand the basic concepts and application frameworks of LLM, Transformer, PLM, Prompt Engineering, RAG, Fine Tune, LangChain, etc.
- Deployment experience with major open source LLMs, such as ChatGLM, Llama, etc.
- Relevant project experience: Participated in NLP / LLM related projects, such as chatbots, text generation, Q&A systems, etc.
- Familiarity with Python or other programming languages: Proficiency in writing and developing code in Python or other programming languages.
- Good learning and problem solving skills: able to learn new knowledge and technologies quickly and solve problems independently.
- Good communication and teamwork skills: able to communicate effectively with team members and collaborate to complete project tasks.
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