Bosch Group

Intern | Deep Learning (Generative AI)

Sep 13, 2023

Singapore, Singapore

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 a member of the advanced development team, the candidate will gain hands-on experience working in an R&D lab that leverages on AI (i.e., machine learning/deep learning) to address challenging real-world project use-cases. Specifically, the candidate will work on a project related to improving the AI model performance on small and imbalanced datasets using generative models. Overall, the candidate will support the team on:

  • Exploratory data analysis (EDA), feature engineering, and optimize existing AI model’s performance.
  • Experimentation and identification of suitable generative models for industrial datasets.
  • Continued development of existing web-based machine learning (ML) application dashboard, analytical methods interface, and time-series database.


  • Able to work full time/part-time for a period of at least 6 months (full-time preferred).
  • Undergraduate/Postgraduate currently pursuing a Degree/Masters in Computer Science, Computer Engineering, or a related technical discipline with an emphasis on machine and/or deep learning.
  • Knowledge and experience dealing with time-series and imbalanced data (e.g., multivariate time-series forecasting, under-sampling, SMOTE etc.).
  • Experience with deep learning methods, frameworks and visualization tools: Generative adversarial networks, tensorflow/pytorch, scikit-learn, dash, python, github.
  • Curiosity-driven, independent thinking, facts and data-centric style of argument construction.
  • Highly resourceful in gathering data from reliable and trustworthy sources, and the ability to summarize new knowledge fast.

Additional Information

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