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.”

LET’S BE REMARKABLE.

Job Description
Are you ready to dive into the future of sustainability, collaborative robotics, and machine intelligence? Join our cutting-edge development team as an AI Engineering Intern, where you’ll work on mind-blowing projects at the intersection of multi-modal AI (MMAI) and robotic machine intelligence. Picture a world where robots understand and follow complex instructions just like humans - and you can help make that happen!

As an AI Engineering Intern, you will:

• Get Hands-On: Implement and optimize cutting-edge algorithms for robotic disassembly.
• Explore the Frontier: Investigate state-of-the-art vision foundation models to boost robotic comprehension and task execution.
• Innovate and Create: Develop groundbreaking techniques to tackle MMAI assistant challenges, focusing on agentic multi-modal assistants.
• Integrate RAG Components: Work with retrieval-augmented generation (RAG) solutions to enhance the capabilities of agentic multi-modal assistant.
• Test and fine-tune: Evaluate the performance of MMAI-based robotic systems in diverse scenarios to ensure they are reliable and efficient.
• Document Your Journey: Meticulously document development processes, algorithms, and performance metrics, contributing to our knowledge base.

QUALIFICATIONS

• Able to work full time for a period of at least 6 months
• Undergraduate/Postgraduate currently pursuing a Degree/Masters in Computer Science, Robotics Engineering, or a related technical field with a keen desire to learn and adapt.
• Hands-on experience with natural language processing and deep learning-based object detection, localization and segmentation frameworks (e.g., YOLO, SegmentAnything etc.).
• Experience with deep learning frameworks (e.g., TensorFlow/PyTorch), LLM prompt engineering, Python, GitHub, and retrieval augmented generation (RAG) solutions.
• Curiosity-driven, independent thinking, and creatively solve complex problems.
• Aptitude for gathering reliable and trustworthy data, summarizing new knowledge quickly and efficiently.
• (Highly desirable) Prior research experience; Familiarity with C++, ROS2, MoveIT, Gazebo, CLIP, and Vision Language models

Please refer the Job description for details