Senior Research Engineer

WeChat; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading technology firm in Singapore is seeking a researcher specialized in advanced content generation models. Candidates should hold a PhD in relevant fields, possess a strong foundation in machine learning and computer vision, and have proficiency in key AIGC frameworks. Fluency in both English and Mandarin is essential to collaborate with international stakeholders. This role presents a unique opportunity to shape the future of AI-driven content generation.

Qualifications

• PhD (preferably full-time) in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• Solid foundation in computer vision or machine learning algorithms; publications in top conferences preferred.
• Proficient in machine learning and deep learning fundamentals.

Responsibilities

• Research and optimize content generation models including text, image, audio, and 3D.
• Improve user experience and support algorithm productization.
• Conduct training and optimization for multi-modal models.

Skills

Computer vision

Machine learning

Deep learning

NLP

Teamwork

Communication skills

Problem-solving

Education

PhD in Computer Science, Artificial Intelligence, Mathematics

Tools

AIGC frameworks (GAN, VAE, VQGAN, Diffusion models)

ControlNet

LoRA

Text Inversion

CLIP

ERNIE-ViL

Job description

Job Description

1. Research and optimize content generation models (text, image, audio, 3D models, etc.) to address challenges such as generation quality, diversity, controllability, and efficiency.
2. Aim to improve user experience and production effectiveness, and support the productization of algorithms.
3. Conduct algorithm training and optimization in areas such as image generation, multi-modal large models, and few-shot learning.
4. Based on inhouse products and business needs, improve the performance and experience of AI painting, text generation, and video generation through: Prompt optimization / Generation model R&D / Adapter development / Performance acceleration which also includes resolving algorithm bottlenecks when applying models in real business scenarios.
5. Address the industrial deployment of multimodal generative models and actively explore model design and optimization in an R&D context

Job Requirements

• PhD (preferably fulltime) in Computer Science, Artificial Intelligence, Mathematics, or related fields.
• Solid foundation in computer vision or machine learning algorithms; candidates with publications in top conferences or journals are preferred.
• Proficient in machine learning and deep learning fundamentals, and familiar with mainstream AIGC frameworks, including GAN, VAE, VQGAN, Diffusion models, etc.
• Familiar with generation model extensions such as ControlNet, LoRA, and Text Inversion.
• Familiar with multi-modal models like CLIP, ERNIE‑ViL, and other transformer-based cross‑modal representation models. Hands‑on experience in NLP, multi‑modal learning, or AI‑generated content is a strong plus.
• Strong learning ability, clear logical thinking, excellent communication skills, and a high level of curiosity.
• Good teamwork and interpersonal communication skills.
• Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ