Intern | Multi-modal Assistant for Robotic Disassembly Full-time

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

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

Additional Information

• Candidate should fulfil the visa requirements for employment in Singapore
  • http://www.mom.gov.sg/passes-and-permits/work-pass-exemption-for-foreign-students
• Applicant must be enrolled at a university throughout internship period.

Are you ready to push the boundaries of what’s possible in robotics machine intelligence? Apply now and embark on an exciting journey of discovery and innovation!