Multimodal Large Model Algorithm Engineer

Lightspeed Studios; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Lightspeed Studios in Singapore is seeking a driven Researcher for multimodal large model technologies. The role involves collaborating on state-of-the-art algorithms in AI and machine learning.

The ideal candidate possesses a Master’s degree or higher in relevant fields and has a solid research background in multimodal understanding. Candidates should be proficient in deep learning frameworks and programming languages such as C/C++, Java, or Python.

Qualifications

• Master’s degree or higher in related fields required.
• Solid research background in multimodal understanding necessary.
• Proficiency in deep learning frameworks like TensorFlow or PyTorch required.
• Strong engineering skills in programming languages required.
• Publication record in top-tier conferences is preferred.

Responsibilities

• Conduct R&D of multimodal large model technologies.
• Track state-of-the-art algorithms in multimodal large models.
• Design, train, optimize, and evaluate multimodal large models.
• Promote application of models in business scenarios.

Skills

Deep learning frameworks (e.g., TensorFlow, PyTorch)

Multimodal understanding

Programming languages (C/C++, Java, Python)

Distributed training frameworks (e.g., DeepSpeed, Megatron-LM)

Education

Master's degree or higher in Computer Science, Machine Learning, AI, Applied Mathematics

Job description

Business Unit Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers. TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia, TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.

What the Role Entails

Conduct research and development of multimodal large model technologies, including cross-modal alignment and multimodal understanding tasks, to build industry-leading multimodal large models. Continuously track state-of-the-art algorithms in multimodal large models, participate in the design, training, optimization, and evaluation of these models, and promote their application in business scenarios.

Who We Look For

• Master’s degree or higher in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related fields.
• Solid research background in multimodal understanding (e.g., natural language processing, computer vision, speech understanding/generation), with familiarity in mainstream models and algorithms such as CLIP, LLaVA, VALL‑E, etc.
• Proficiency in deep learning frameworks like TensorFlow or PyTorch; knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron‑LM) and practical experience in multi-node/multi-GPU distributed training.
• Strong engineering skills with proficiency in at least one programming language: C/C++, Java, or Python.
• Publication record in top-tier conferences (e.g., ICLR, NeurIPS, CVPR, ICCV, ECCV, ACL, EMNLP) is preferred.
• Excellent learning ability, technical curiosity, and strong teamwork and communication skills.

Equal Employment Opportunity

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.