Senior Algorithm Engineer (Multimodal Generation)

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. seeks an AI Research Engineer to advance multimodal models and AIGC techniques, focusing on image and video generation and editing. This role emphasizes strong math, programming, and publications, based in Singapore with a collaborative team environment.

You will work with product and engineering teams to translate research into deployable solutions, contributing across device, cloud, and autonomous driving contexts.

Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, or related engineering fields
• 1–5 years of relevant research or development experience in image/video generation or multimodal models
• Strong programming in Python/C++, hands-on experience with PyTorch or TensorFlow
• First-author publications in top-tier conferences or journals are a strong plus
• Strong independent thinking and collaborative mindset

Responsibilities

• Research and develop large multimodal models and AIGC generation algorithms for image and video generation and editing
• Evaluate state-of-the-art video generation and unified generation–understanding models and 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

Python

C++

Deep Learning

PyTorch

TensorFlow

Multimodal Models

Research Publications

Education

Master's degree

Tools

PyTorch

TensorFlow

Job description

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.