Senior Researcher-Video Generation

Origen Tech; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Origen Technologies, Inc. in Singapore seeks a researcher to advance world-model R&D for large-scale video models. You will design training datasets, build foundational architectures, and optimize pre-training, SFT, and RL pipelines.

You will analyze challenges, identify bottlenecks from first principles, and push world model boundaries, exploring new paradigms and downstream applications.

Qualifications

• Bachelor’s degree or higher in CS/AI/Math is required.
• Experience with large model R&D and DL workflows is essential.
• Publications or practical work in text-to-image/video generation is a plus.

Responsibilities

• Engage in R&D of large-scale video world models, including designing training datasets, model architectures, and optimization pipelines.
• Analyze R&D challenges, identify bottlenecks, and derive first-principles solutions to accelerate development.
• Explore next-generation model paradigms and downstream application scenarios.

Skills

Deep learning in large model R&D; Diff

Training/Inference optimization; CPU/G

ACM-ICPC or NOIP competition

Strong learning agility & teamwork

Education

Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields

Job description

Job Description

• Engage in the R&D of large-scale video world models, including the design and construction of training datasets, foundational model architecture design, optimization of pre-training/SFT/RL pipelines, model capability evaluation, and exploration of diverse downstream application scenarios.


• Conduct scientific analysis of R&D challenges, identify performance bottlenecks, and derive solutions from first principles to accelerate the development and iteration of world models, ensuring competitive edge and technical leadership.


• Explore alternative paradigms for implementing world models, investigate next-generation model architectures, and push the boundaries of what world models can achieve.

Skills Required

• Bachelor’s degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or related fields (full-time education required).


• Solid foundation in deep learning algorithms and proven hands-on experience in large model R&D. Experience with Diffusion Models and Autoregressive Modelsis highly preferred. Publications in top-tier conferences/journals and practical experience in text-to-image/video generation are strong pluses.


• Proficient in the underlying implementation details of various deep learning networks and operators; experienced in training/inference optimization, CPU/GPU acceleration, and distributed training/inference acceleration. Practical experience is highly valued.


• Exceptional candidates with ACM-ICPC or NOIP competition experience will begiven top priority.


• Strong learning agility, effective communication skills, teamwork spirit, and akeen sense of curiosity.