Editorial summary

The company is seeking a Senior Algorithm Engineer specializing in Multimodal Generation to conduct research and development on large multimodal models (LMMs) and AIGC generation algorithms, with a focus on image and video generation and editing. The role involves advancing key algorithmic capabilities such as multimodal controllable generation, video continuation, and unified generation-and-understanding models, while evaluating state-of-the-art models from academia and industry. The position offers a monthly salary of 15,000 RMB. Candidates should possess expertise in multimodal models, image and video processing, and related AI technologies.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 31272 first appeared in Job-Q.com on 11 Sep 2026]

Job Responsibilities:

• Conduct research and development on large multimodal models (LMMs) and AIGC generation algorithms, with a focus on image and video generation and editing, continuously advancing key algorithmic capabilities including but not limited to multimodal controllable generation, video continuation, image and video editing, and unified generation-and-understanding models;
• Explore and evaluate state-of-the-art video generation and unified generation–understanding models, closely tracking advances from both academia and industry in image, video, and multimodal large models, and incubate new capabilities, features, and application directions across device, cloud, and autonomous driving scenarios;
• Work closely with product, system, and engineering teams to continuously translate cutting-edge algorithmic innovations into deployable and deliverable product solutions, ensuring stable application of related technologies in real-world business scenarios.

Job Requirements:

• Master’s degree or above in Computer Science,Artificial Intelligence, or related engineering fields
• 1–5 years of relevant research or development experience, with solid foundations in one or more of the following areas: image/video generation and editing, multimodal large models, unified generation-and-understanding models, reinforcement learning, etc.; First-author publications in top-tier conferences or journals are a strong plus, such as CVPR, ICCV, ECCV, NeurIPS, ACMMM, ACL, ICLR, etc.;
• Strong algorithm and deep learning model development skills, proficiency in Python / C++, and hands-on experience with mainstream AI frameworks such as PyTorch or TensorFlow, with the ability to independently conduct model design, training, and experimental analysis;
• Experience in image or video generation and editing algorithms is a plus; practical experience with large-scale visual data annotation, cleaning, and analysis is an added advantage;
• Broad technical vision with the ability to continuously follow and understand the latest advances in multimodal and generative AI from both academia and industry;
• Strong independent thinking skills and a collaborative team-oriented mindset.

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