Research Engineer II (Computer Science/Statistics/Engineering)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading research university is seeking a Research Engineer II to work on uncertainty quantification in large language models. The role involves maintaining compute infrastructure, collaborating on research, and contributing to publications. Candidates should have a Master's in a relevant field and strong experience in deep learning frameworks. This exciting opportunity is based in Singapore and offers a fixed term of 30 months.

Qualifications

• Close to completion or holds a MSc in computer science, statistics, or engineering.
• Strong publication track record in machine learning.
• Sufficient specialist knowledge and research skills in deep learning.

Responsibilities

• Set up and maintain the project’s compute infrastructure.
• Collaborate on research and contribute to novel methodologies.
• Enable large scale research implementations.

Skills

Deep learning

Large language models

Cloud solutions

Collaboration

Communication skills

Education

MSc or above in a relevant technical subject

Tools

Pytorch

JAX

Hugging Face

Job description

Research Engineer II (Computer Science/Statistics/Engineering) page is loaded

Research Engineer II (Computer Science/Statistics/Engineering)

Apply locations NTU Main Campus, Singapore time type Full time posted on Posted Yesterday job requisition id R00019401

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a Research Engineer II (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Work with project team in setting up and maintaining the project’s compute infrastructure, ensuring that these meet the needs of the project.

• Maintaining the project’s internal communication infrastructure to ensure that researchers across all three universities are able to work effectively together.

• Collaborate with the project team on research pertinent to the project, by

  • Contributing to and developing ideas for novel methodologies and understanding of the research questions,

  • Acting as a source of information and advice to other members of the research team, especially on computational matters

  • Enabling large scale research implementations and managing research experiments,

  • Contributing to the writing of research papers and submissions to high profile venues,

  • Leading on efforts at open sourcing research code, and

  • Presenting outcomes at international conferences and workshops.

The postholder will carry out any other duties that are within the scope, spirit and purpose of the job, as requested by their Reporting Officer.

Job Requirements:

Essential criteria

• Close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering).

• Possess strong publication track record in machine learning or related fields.

• Possess sufficient specialist knowledge, research skills and interests in deep learning and large language models to work within established research programmes and contribute ideas and solutions.

• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open source codebases and LLM APIs.

• Possess strong motivation and interests in developing computational infrastructure (including both software and cloud solutions) to enable large scale implementations and experimentations in large language models.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

About Us

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.