Researcher

NEC ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 110,000 - 180,000; Full time

Job summary

NEC Asia Pacific PTE. LTD. in Singapore seeks a senior AI researcher to lead multimodal knowledge curation and develop methods for extracting implicit knowledge from speech, visuals, and body language.

You will design data pipelines and prototypes such as AI copilots and knowledge assistants, and establish evaluation frameworks for explainability and generalization. A Master’s degree (PhD preferred), 2+ years in ML/DL, strong Python (PyTorch/TensorFlow) and C++/Java, and REST API experience are

Qualifications

• Master's degree (PhD preferred) in CS/AI/EE with multimodal focus.
• 2+ years in ML/DL research with GPU/TPU experience.
• Strong expertise in LLMs, Generative AI, and multimodal learning.
• Proficient in Python (PyTorch, TensorFlow, Hugging Face) and experience with C++/Java and REST APIs.
• Ability to read and implement cutting-edge AI research papers and architectures.
• Solid software engineering practices and Git; GPU computing experience.
• Self-motivated, proactive, and able to drive research from concept to delivery.

Responsibilities

• Lead multimodal knowledge curation research across modalities.
• Build data pipelines and prototypes (AI copilots, knowledge assistants).
• Establish evaluation and benchmarking for explainability and generalization.
• Collaborate with NEC global labs for PoC delivery and industry solutions.
• Publish and file patents; contribute to academic events.
• Perform ad-hoc research or operational duties as needed.

Skills

Multimodal learning

NLP

CV

Speech processing

Python

PyTorch

TensorFlow

Hugging Face

C++

Java

Education

Master's degree

PhD preferred

Tools

RESTful APIs

Job description

JOB DESCRIPTION:

• LeadMultimodal Knowledge Curation Research: Research and develop thestate-of-the-art AI methods / algorithms for implicit knowledge extraction,capturing hidden human expertise such as communication strategies,problem-solving patterns, emotional intelligence cues, and decision-makingbehaviors across multimodal inputs (speech, conversation, visual cues, and bodylanguage).
• BuildData Pipelines and Research Prototypes: Design intelligent pipelines tocapture and synchronize multimodal interactions, and build functional researchprototypes (such as AI copilots, knowledge assistants, human-AI collaborationsystems, and multimodal reasoning systems).
• EstablishEvaluation & Benchmarking Frameworks: Design quantitative and qualitativeevaluation frameworks to assess knowledge extraction quality, explainability,interpretability, and generalization across diverse scenarios.
• TechnologyTransfer & PoC Delivery: Study, evaluate, and collaborate with other NEC globallabs to transition frontier multimodal AI capabilities into practical customertrials, proof-of-concept (PoC) projects, and industry solutions (e.g.,healthcare, customer service, smart enterprise).
• IPCreation & Academic Contributions: Invent and file patents for novelmultimodal AI technologies and represent NEC by publishing and presentingresearch at top-tier international conferences/journals and exhibitions.
• Ad-hocDuties:Perform any other ad-hoc research or operational duties as needed or assigned.

JOB REQUIREMENTS:

• At least a Master's degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, Electrical/Computer Engineering, or a related field, with a focus on Multimodal Learning, Natural Language Processing, Computer Vision, or Speech/Audio Processing.
• A minimum of 2 years of hands-on experience in researching, developing, and deploying machine learning/deep learning models, with practical exposure to GPU and/or TPU/NPU environments. (Fresh Ph.D. graduates with relevant research publications in top-tier conferences/journals are welcome to apply).
• Deep technical expertise in Large Language Models (LLMs), Generative AI, multimodal representation learning, or human-centric AI.
• Proven proficiency in Python (PyTorch, TensorFlow, Hugging Face, etc.) and experience with C++ and/or Java, particularly in developing RESTful APIs and integrating modular AI services.
• Demonstrated ability to independently read, critique, and implement cutting-edge AI research papers and state-of-the-art architectures.
• Strong understanding of software engineering best practices, version control systems (Git), and GPU computing environments.
• Self-motivated and proactive, with strong problem-solving skills and a demonstrated ability to take initiative and drive applied research projects from conception to completion.