Research Engineer I (Machine Learning) at Nanyang Technological University Singapore

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Multimodal Models, Model Training, Quantization Strategies, ML Libraries, Scikit-learn, PyTorch, Software Engineering, Clean Code, Testing, Collaboration, Communication, Interpersonal Skills, Emerging Technologies, Architecture Principles

Industry

Education Administration Programs

Description

A Machine Learning Engineer position is currently available at NTU and the start-up TT-logic, part of the incubator NTUitive from the Nanyang Technological University. The candidate is expected to work on designing, training and optimizing compact computer vision / multimodal models for deployment of privacy-preserving inference pilots. Key Responsibilities: Design and develop compact computer vision / multimodal architectures and quantization strategies for our privacy-preserving inference product. Adapt and evolve our products based on client preferences and emerging technologies. Collaborate with Full Stack engineers to integrate your tools pipeline into the TTnet software architecture. Write clean, maintainable code and conduct thorough testing to identify and resolve any issues or bugs. Stay up to date with the latest industry trends and emerging technologies to continuously improve the product. Job Requirements: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Proven experience in Machine Learning with prior model training experience. Proficiency in ML libraries such as scikit-learn, PyTorch. Strong understanding of Machine Learning architecture principles and design patterns. Effective communication and interpersonal skills to collaborate with other engineers. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Responsibilities

The candidate will design and develop compact computer vision and multimodal architectures for a privacy-preserving inference product. They will also collaborate with Full Stack engineers to integrate tools into the software architecture and stay updated with industry trends.