- Singapore
全职 Algorithm Engineer - AIGC (2027 Graduate) 工作, 薪水, Shopee 公司招聘中 - Ricebowl
工作地点
职位描述
岗位职责
Department Engineering and Technology
LevelEntry Level
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:
- Model Training & Optimization: Design and execute training pipelines for large-scale AIGC models, including data curation, training stability, and performance optimization across computation, communication, and storage layers.
- Architecture & System Design: Contribute to the architecture design of video generation models, spanning foundational model training through to post-training alignment and quality enhancement.
- Quality Alignment & Evaluation: Build evaluation pipelines and explore alignment strategies to improve model output quality, including preference alignment and reward modeling.
- Capability Exploration: Investigate and prototype emerging capabilities such as long-form video generation, multi-modal understanding, and inference acceleration techniques.
- Frontier Research: Track cutting-edge AIGC research, drive project planning, and deliver production-grade implementations.
Requirements:
- Currently pursuing or possesses a Masters or above in Computer Science, AI, or a related field from a reputable university with strong academic credentials/results, expected to graduate by May 2027 and join us by June 2027.
- Good publication record at top-tier venues.
- Familiarity with video generation architectures and/or diffusion-based generative models.
- Demonstrated ability to ship research into working systems.
- Strong communication and collaboration skills; comfortable working across research and engineering teams.
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