Bosch | Intern, Machine Learning (Generative AI)

Singapore

Full-time

20/08 — 03/09/2025

Job Description

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🏢 About Bosch Group

The Bosch Group is a leading global supplier of technology and services. It employs roughly 418,000 associates worldwide. The company generated sales of 90.3 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. At 136 locations across the globe, Bosch employs some 87,000 associates in research and development.

🏢 About Robert Bosch (South East Asia)

As the Bosch Group's regional headquarters in Singapore for Southeast Asia, Robert Bosch (South East Asia) Pte Ltd has represented the Group's interests across the region since 1923. With diversified businesses in Mobility Aftermarket, Industrial Technology, Consumer Goods, and Building Technology. Robert Bosch (SEA) Pte Ltd includes the Asia Pacific headquarters for Mobility Aftermarket, Building Technology, and Industrial Technology, as well as the Southeast Asia R&D setup for Corporate Research, Advance Engineering Centre, and Bosch Business Innovations, Bosch's in-house innovation and startup incubation network. At Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us.



Job Description

💼 Role Overview

We are looking for a motivated and enthusiastic individual to join Bosch for a fulfilling internship opportunity! This internship will provide valuable hands-on experience in an emerging technology environment that uses AI/Generative AI to tackle challenging real-world project use-cases. As an Intern, Machine Learning (Generative AI) you will support the use of foundation vision language models (VLMs) for anomaly detection using advanced techniques, in collaboration with experienced team members.

🎯 What you will do (Key Responsibilities)

  • Conduct exploratory data analysis (EDA) and feature engineering on images and associated text to optimize VLM performance for anomaly detection applications.
  • Experiment with suitable VLM models and prompt engineering techniques for multi-modal anomaly detection on industrial datasets.
  • Conduct research to explore new methodologies for leveraging VLMs in quality control/logistics.
  • Document development processes, algorithms, and performance metrics for VLM-based anomaly detection systems, contributing to our knowledge base.

Qualifications

👤 What We’re Looking For (Qualifications & Skills)

  • Able to work full time for a period of at least 6 months.
  • 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 computer vision, multimodal AI, and anomaly detection (e.g., image preprocessing, object detection, vision-language alignment, etc.).
  • Experience with deep learning methods and frameworks: transformers, tensorflow/pytorch, scikit-learn, python, github.
  • Curiosity-driven, independent thinking, 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

💎 Why Intern With Us?

We don’t just offer jobs—we build careers. At Bosch, you’ll benefit from:

  • 🧠 Real-world experience apply classroom knowledge to practical, real-life work scenarios
  • 📈 Skill-development build technical and soft skills while being part of the team “in-action”
  • 💼 Opportunities to network and learn from industry professionals
  • 🤝 Inclusive culture built on respect, collaboration, and empowerment

📅 Next Steps

Our recruitment process typically includes:

  • Application screening
  • Interview(s) with Hiring Manager, Business Leaders and HR

Ready to grow your career with Bosch? 🚀 Apply Now!

 

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