- Singapore
全职 Algorithm Engineer - AIGC 工作, 薪水, Shopee 公司招聘中 - Ricebowl
工作地点
职位描述
岗位职责
Job Description
- Model Training & Optimization: Design and execute training pipelines for large-scale AIGC models, including data curation, training stability, and performance optimization. Apply large-scale diffusion models to practical visual tasks such as low-light enhancement.
- Architecture & System Design: Contribute to the architecture and algorithm design for AIGC and large multi-modality models spanning image and video, from foundational model training through to post-training alignment and quality enhancement.
- Post-training & Alignment: Implement and advance post-training methods for diffusion-based multimodal large models to improve output quality.
- Capability Exploration: Investigate and prototype emerging capabilities such as multi-modal understanding and visual content generation.
- Frontier Research: Track cutting-edge AIGC research, drive project planning, and deliver production-grade implementations. Contribute to the academic community through publications at top-tier venues.
- Masters or above in Computer Science, AI, Computer Vision, Applied Mathematics, or a related field from a reputable university with strong academic credentials.
- Minimum 2 years of full-time working experience in AI Research
- Experience with multi-modality large models across image or video domains.
- Good publication record at top-tier venues.
- Industry experience with large-scale generative models, including diffusion-based architectures and post-training alignment methods, with demonstrated ability to ship research into deployed systems.
- Familiarity with applying generative models to practical applications such as image/video enhancement, super-resolution, low-light enhancement, or content generation.
- Strong communication and collaboration skills; comfortable working across research and engineering teams.
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