AI Researcher - Content Video Generation(Post training)

Department Engineering and Technology

LevelExperienced (Individual Contributor)

LocationSingapore

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

Job Description:

About Us

Sea Group is establishing a brand-new, strategic AI department. This department is dedicated to exploring the transformative potential of generative AI in revolutionizing human connection, self-expression and communication diversity, and social interaction. We are building the next generation of AI-native applications and a comprehensive Model-as-a-Service (MaaS) product support system. Based on massive multi-country data, we are building a leading multilingual AI ecosystem from the ground up. We look forward to more outstanding talents joining us to build leading Southeast Asian multilingual models and explore innovative AI-native applications.

The team at Sea AI Department is dedicated to pushing the boundaries of visual synthesis. We aim to achieve industry leadership in high-fidelity portrait and video generation. This team focuses on fundamental research and the scaling of generative models to empower next-generation social and E-commerce platforms.

About the Job

Architecture Design: Lead the architecture design and implementation of video generation post-training, focusing on high-quality instruction data, preference alignment, and video quality enhancement.

Capability Expansion: Explore long-video modeling, storyline consistency, and precise camera control.

Alignment & Evaluation: Build video quality evaluation pipelines and multi-dimensional Reward Models; execute alignment training using RLHF, DPO, GRPO, and PPO.

Inference Acceleration: Research and implement model distillation and other techniques for Diffusion model inference acceleration.

Requirements:

Education: Master’s or PhD in Computer Science or related fields. Bachelor's can be considered with a strong industrial experience.

Technical Depth: Solid theoretical and practical foundation in video generation post-training, including preference alignment (RLHF/DPO/GRPO/PPO), fine-tuning (LoRA/QLoRA/DoRA), and distillation (Consistency Models, Flow Matching).

Project Experience: Proven track record in video generation post-training, with practical experience in Video Reward Models and quality evaluation metrics.

Soft Skills: Excellent communication and teamwork abilities.

Plus points
- End to end training: Experience in the full lifecycle of high-quality video generation model training.
- Frontier Research: Research leadership in physical simulation, world consistency, temporal consistency, or causal reasoning.
- Preference Alignment: Expertise in high-quality video evaluation and human preference alignment.
- Efficiency Mastery: Experience in extreme efficiency optimization (inference acceleration, VRAM compression, distillation, quantization).