Intern, AI research engineer

Bosch

Bosch

Software Engineering, Data Science
Singapore
Posted on Friday, March 15, 2024

Company Description

Robert Bosch (South East Asia) Pte Ltd is a regional subsidiary of the Bosch Group, representing the Group's interests in Southeast Asia where it is present in all ASEAN member countries. Business operations in these countries report to Robert Bosch (South East Asia) Pte Ltd, located in Singapore. Bosch has been present in Southeast Asia since 1919, with diversified businesses in the company's four business sectors - Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. Bosch's strategic objective is to improve quality of life with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.

At Bosch, we care. For you, our business, and our environment.

Let’s turn visions into reality. At Bosch,we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility or industry. Our responsibility goes far beyond business. We’re independent of stock markets and bound to the purpose of the Robert Bosch Foundation; our success directly benefits society, the environment, and future generations. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Let’s be remarkable.

Job Description

As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

  • Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
  • Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
  • Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
  • Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
  • Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
  • Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

Qualifications

  • Able to work full time for a period of 6 months (April 2024 onwards)
  • Undergraduate/graduate studies in related field of Computing Engineering & Computer Science
    • Major in Computer Science from Mechanical and Aerospace Engineering or Electrical engineering and Computer Science
  • Sound knowledge in NLP, LLM. This includes tokenization, embedding, sequence modeling.
  • Experience with AI Frameworks and Libraries: Practical experience with PyTorch or TensorFlow for model development, and libraries such as Hugging Face's Transformers and LangChain for utilizing pre-trained models like GPT and RAG
  • Programming Proficiency: Strong skills in Python, as it is the primary language used in AI development.
  • Independent learning & working and self-motivated.

Additional Information