Intern | Multi-modal Assistant for Robotic Disassembly

at  Bosch Group

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 passionate about shaping the future of sustainability, collaborative robotics, and machine intelligence? Join our advanced development team as an AI research Intern, where you’ll work on groundbreaking projects that aims to tackle challenging problems at the intersection of multi-modal AI (MMAI), and robotic machine intelligence. Imagine a world where robots can understand and follow complex instructions as efficiently as humans - you can help make that a reality! Overall, the candidate will support the supervisor to:

• Implement and optimize the developed algorithms for robotic disassembly.
• Investigate cutting edge vision foundation models to improve robotic comprehension and task execution.
• Develop innovative techniques to tackle the MMAI assistant challenges.
• Evaluate the performance of MMAI-based robotic systems in diverse scenarios to ensure reliability and efficiency.
• Meticulously document development processes, algorithms, and performance metrics, contributing to the project’s 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