Large Language Model (LLM) Intern null

Your role

Meet your team:

Cummins is a global power technology leader and corporation of complementary business units that design, engineer, manufacture, distribute, and service engines and related technologies, ranging from fuel systems, controls, and air handling to filtration, emission solutions, and electrical power generation systems.

What you'll do:

• Explore application scenarios of Large Language Models in automotive and industrial domains
• Designing and developing frameworks for Large Language Models in vertical domains
• Build and optimize applications based on the Large Language Model
• Evaluate and analyze the effectiveness of the Large Language Model in vertical domains
• Explore the use of large language models in the automotive and industrial fields
• Design and develop large language model frameworks for vertical domains
• Build and optimize application systems based on large language models
• Evaluate and analyze the application effect of large language models in vertical domains
• Collect and collate domain data:
  • collate texts, codes, data, etc. related to the automotive/industrial domain, and clean, annotate, and collate them to provide a high-quality database 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 optimize the training and inference process of the large language model:
  • optimize the training and inference process of the large language model to improve the efficiency, accuracy, and interpretability of the model
• Evaluating and analyzing the effectiveness of Large Language Models:
  • Evaluating and analyzing the effectiveness of Large Language Models in automotive and industrial applications, and improving and optimizing 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 learned
• Present compelling and proven stories to team members and stakeholders throughout and after the internship
• Collect and organize domain data:
  • Organize text, code, and data related to the automotive/industrial field, and clean, annotate, and organize them to provide a high-quality data foundation for the training and application of large language models
• Design and implement application solutions based on large language models:
  • Design and implement solutions based on large language models, such as intelligent customer service systems, automatic question-answering systems, and fault diagnosis systems, according to specific application scenarios
• Develop and optimize the training and inference process of large language models:
  • Optimize the training and inference process of large language models to improve the efficiency, accuracy, and interpretability of the model
• Evaluate and analyze the application effect of large language models:
  • Evaluate and analyze the application effect of large language models in the automotive and industrial fields, and improve and optimize them based on the results
• Writing technical documents and reports:
  • Writing 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 learned
• Present compelling, verified stories to team members and stakeholders throughout the internship and after the internship

About you

What you bring:

• 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 modeling, text classification, machine translation, etc
• Familiar with technologies related to Large Language Modelling (LLM):
  • Understand the basic concepts and application frameworks of LLM, e.g. 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
• Undergraduate or graduate students in Computer Science/Data Science/Artificial Intelligence or related majors:
  • Solid basic knowledge of computer science, familiarity with data structures, algorithms, programming languages, etc
• Familiarity with natural language processing (NLP)-related technologies:
  • Understand the basic concepts of NLP, such as word embeddings, language models, text classification, machine translation, and more
• Familiarity with large language models (LLMs):
  • Understand the basic concepts and application frameworks of LLMs, such as Transformer, pre-trained models, prompt engineering, retrieval enhancement generation, fine-tuning, LangChain, etc
• Has practical experience in deploying mainstream open-source large language models, such as ChatGLM, Llama, etc
• Experience in related projects:
  • Participated in NLP/LLM-related project development, such as chatbots, text generation, question-answering systems, etc
• Familiarity with Python or other programming languages:
  • Proficiency in code writing and development in Python or other programming languages
• Good learning and problem-solving skills:
  • Ability to learn new knowledge and techniques quickly and be able to solve problems independently
• Good communication skills and teamwork skills:
  • Ability to communicate effectively with team members and collaborate on project tasks
• Practical experience related to automotive and industrial fields would be an added advantage
• Practical experience in the automotive and industrial sectors is an advantage

Benefits

Benefits and perks listed below may vary depending on the nature of your employment with Cummins and the country where you work.

• Financial Wellness
• Health and Wellness
• Continuing Education
• Paid Incentive
• Work-life Flexibility
• Every employee, every community
• Development and Growth
• Diversity and Inclusion

Training & development

The Cummins Internship Program provides a meaningful opportunity for college and university students to accomplish real-world projects in a professional environment, Here, you'll work closely with your hiring manager to complete a pre-determined scope of work and present your findings to the team at the end of your analysis. Throughout the internship, you’ll be challenged to apply your best knowledge and demonstrate your strength to achieve the business strategy with your colleagues.

Career progression

At Cummins, you’ll have chances to try new things – whether taking on a new project or networking. Your manager will encourage you to take charge of your future. And you'll work with experienced mentors who value your enthusiasm, creativity, and ambitions. This is an exciting time when you have your whole career ahead of you. You want to choose an innovative and progressive company that develops the skills and experience you need to succeed, achieve, and excel – today and in the future. You’ll find all this and more at Cummins.

Sources

The following sources were used in researching this page.

• cummins.com/careers/paths
• youtube.com/@CumminsCareers