Senior Algorithm Engineer (Multimodal Generation)

Beijing Foreign Enterprise Management Consultants Co.,Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Huawei Singapore is seeking a Senior Algorithm Engineer (Multimodal Generation) to conduct R&D on large multimodal models (LMMs) and AIGC generation algorithms, with a focus on image and video generation and editing. You will collaborate with product, system and engineering teams to translate innovations into deployable solutions.

Requirements: Master’s degree or above in CS/AI (PhD preferred); 1–5 years’ relevant R&D; strong Python/C++ skills; hands-on with PyTorch or TensorFlow; publications

Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, or related engineering fields.
• 1–5 years of relevant research or development experience with image/video generation and multimodal models.
• Strong Python/C++ skills and hands-on experience with PyTorch or TensorFlow; first-author publications are a plus.

Responsibilities

• Conduct research and development on large multimodal models (LMMs) and AIGC generation algorithms, focusing on image and video generation and editing.
• Explore and evaluate state-of-the-art video generation and unified generation–understanding models; incubate new capabilities across device, cloud, and autonomous driving scenarios.
• Collaborate with product, system and engineering teams to translate innovations into deployable product solutions.

Skills

Algorithm development

Deep learning

Multimodal AI

Model training

Collaboration

Education

Master’s degree or above in CS/AI

PhD preferred

Tools

PyTorch

TensorFlow

Python

C++

Job description

On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Senior Algorithm Engineer (Multimodal Generation).

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 (PhD preferred);
• 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 preferred;
• 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.