Agent Research and Development Engineer

Baidu, Inc.; Singapore; On-site; SGD 110,700 - 147,600; Full time

Job summary

Baidu, Inc. in Singapore seeks a skilled NLP Specialist to optimize large language models (LLMs) in retrieval-augmented generation scenarios. Responsibilities include exploring advanced LLM applications, tracking the latest developments in evaluation capabilities, and optimizing foundational LLM abilities. Candidates should have a Bachelor’s degree in Computer Science or related fields, excellent coding skills in Python and Shell, and familiarity with modern NLP architectures like Transformers and BERT. A passion for learning and strong communication skills are essential.

Qualifications

• Bachelor’s degree or higher in Computer Science or related fields.
• Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures.
• Excellent coding skills, proficient in Python & Shell.
• Excellent communication and logical expression skills, a passion for exploratory learning, a good team collaboration attitude.
• Preferred: impactful work (e.g., publications in academic conferences, open-source contributions).

Responsibilities

• Optimize model performance of large language models (LLMs) in RAG scenarios.
• Explore advanced applications of LLMs in multi-modal tasks and interactive search.
• Track advancements in evaluation capabilities of LLMs and build systematic evaluation capabilities.
• Optimize foundational abilities of LLMs and promote their practical implementation.

Skills

NLP development

Python

Shell

Communication

Team collaboration

Education

Bachelor’s degree in Computer Science or related fields

Tools

Transformers

BERT

Job description

Responsibilities

• Optimize the pipeline and model performance of large language models (LLMs) in retrieval-augmented generation (RAG) scenarios
• Explore and develop advanced applications of LLMs in multi-modal tasks, function calling, and interactive search
• Track the latest advancements in evaluation capabilities of large language models in RAG, multi-modal agents, and function calling, and build systematic evaluation capabilities
• Optimize foundational abilities of LLMs (e.g., instruction following, reasoning and planning, long-text memory, and knowledge inheritance) and promote their practical implementation

Qualifications

• Bachelor’s degree or higher in Computer Science or related fields
• Background in NLP/search/advertising/recommendation system development, familiar with modern NLP model architectures such as Transformers/BERT
• Excellent coding skills, proficient in programming languages such as Python & Shell
• Excellent communication and logical expression skills, a passion for exploratory learning, a good team collaboration attitude, and a strong sense of responsibility
• Preferred: impactful work (e.g., publications in academic conferences, open-source contributions)