- Singapore
Full Time Algorithm Engineer - AIGC Jobs, in Shopee - Maukerja
Working Location
Job Description
Responsibilities
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:
- 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.
Requirements:
- 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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