About this role
Develop and maintain evaluation frameworks to measure the capabilities of Large Language Models, focusing on multilingual, multicultural, and multimodal aspects. Collaborate with cross-functional teams to design scalable AI solutions and contribute to community engagement through technical sharing.
Requires a degree in Computer Science, AI, Data Science, or a related field with deep knowledge of LLM evaluation methods. Candidates must be proficient in Python, PyTorch, and Git, and be fluent in English and at least one Southeast Asian language.
What they're looking for
LLM EvaluationPythonPyTorchvLLMGitExperimental DesignData AnalysisMultilingual LLMs
Frequently asked questions
What does a AI Engineer (Evaluation) at Nanyang Technological University Singapore do?
Develop and maintain evaluation frameworks to measure the capabilities of Large Language Models, focusing on multilingual, multicultural, and multimodal aspects. Collaborate with cross-functional teams to design scalable AI solutions and contribute to community engagement through technical sharing. …
What skills does this AI Engineer (Evaluation) role need?
Key skills for this role include LLM Evaluation, Python, PyTorch, vLLM, Git, Experimental Design.
How much does a AI Engineer (Evaluation) at Nanyang Technological University Singapore pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this AI Engineer (Evaluation) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this AI Engineer (Evaluation) role?
You can apply directly on Nanyang Technological University Singapore's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.