AI Engineer (Evaluation)

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NTU Singapore’s AISG invites a capable researcher to join as an AI evaluation specialist with a focus on multilingual, multicultural, and multimodal LLM evaluation. You will build and maintain evaluation frameworks, collect and translate evaluation data, and collaborate with partners to ensure reliable AI solutions.

You should hold a degree in CS/AI/data science, be proficient in Python with Git, and have experience with PyTorch and vLLM.

Qualifications

• Degree in computer science, AI, data science or related field.
• Deep understanding of LLM evaluation experimental design and the advantages/limitations of various LLM evaluation methods.
• Experience in LLM inference frameworks such as vLLM and AI/Deep Learning frameworks such as PyTorch.
• Writing production level code in Python and using version control systems such as Git.
• Fluent in English and one other Southeast Asian language for multilingual evaluations.

Responsibilities

• Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs).
• Keep up to date and experiment with the latest research in multilingual, multicultural, and multimodal LLM evaluations such as the LLM-as-a-Judge paradigm.
• Work with partners to collect, translate and verify evaluation datasets.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions.
• Collaborate with cross-functional teams within AI Products to design and resolve issues.
• Maintain code repository and documentation standards.
• Contribute to community engagement activities such as sharings via technical session meet-ups and article write-ups, and participating in discussion forums.

Skills

Communication skills

Multilingual capability

Independent learning

Research paper literacy

Python programming

Education

Degree in computer science/AI/data science or related field

Tools

vLLM

PyTorch

Git

Job description

AI Singapore (AISG) is Singapore's national programme in artificial intelligence, launched by the National Research Foundation (NRF) to anchor deep national capabilities in AI. Hosted at Nanyang Technological University (NTU), AI Singapore brings together Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore's AI efforts. Since our inception in 2017, we have established a culture of respect, continuous learning, experimentation and curiosity, centred around innovation.

The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will be responsible for building evaluations that test the limits of AI models especially in terms of its multilingual, multicultural and multimodal capabilities.

Duties and Responsibilities:

• Develop and maintain evaluation frameworks and pipelines to measure the capabilities of Large Language Models (LLMs).
• Keep up to date and experiment with the latest research in multilingual, multicultural, and multimodal LLM evaluations such as the LLM-as-a-Judge paradigm.
• Work with partners to collect, translate and verify evaluation datasets.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solutions.
• Collaborate with cross-functional teams within AI Products to design and resolve issues.
• Maintain code repository and documentation standards.
• Contribute to community engagement activities such as sharings via technical session meet-ups and article write-ups, and participating in discussion forums.

Requirements:

• Graduate from a degree program in computer science, AI, data science or related fields (or equivalent practical experience).
• Deep understanding of LLM evaluation experimental design and the advantages/limitations of various LLM evaluation methods.
• Experience in LLM inference frameworks such as vLLM and AI/Deep Learning frameworks such as PyTorch.
• Writing production level code in Python and using version control systems such as Git.
• Strong written and verbal communication skills.
• Independent learner that is capable of reading and understanding research papers.
• Fluent in English and one other Southeast Asian language for the purposes of understanding how to build quality evaluations from a multilingual and multicultural perspective.

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