Multimodal LLM Research 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

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.