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Interns, LLM-based Algorithm Engineer

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Onsite

Interns, LLM-based Algorithm Engineer

PERSOL APAC

Interns, LLM-based Algorithm Engineer

Skills

Deep LearningPythonJavaMachine LearningAINLP / Natural Language Processing

21 days ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

28 September 2026

What they need


About the Company

We have partnered with a renowned global leader in information and communications technology (ICT) infrastructure and smart devices. They are providing full-stack, all-scenario AI solution for products and services carriers, enterprises, governments, and individual consumers worldwide.

Our client is looking for enthusiastic Interns, LLM-based Algorithm Engineer to contribute talents in a wide range of AI scenarios and applications.

Responsibilities:

  • Be responsible for research on retrieval augmented generation (RAG) including GPT memory management and alignment between Retriever and Large Language Models (LLMs).
  • Research on methodologies to construct multimodal prompts engine techniques which based on Large Multimodal Models (LMMs).
  • Design of applications based on multi-agent technology and Chain-of-Thought (CoT) technology, and use multi-agent technology to solve complex reasoning/planning or multi-modal reasoning/planning problems.
  • Analysis of experimental results, and performance improvement via prompting, hyperparameter tuning or choice of loss function, etc..

Qualifications & Requirements

  • Currently studying, possess a Bachelor's degree or PhD in Computer Science, Statistics, Applied Mathematics, or equivalent research experiences.
  • Demonstrate the ability to generate new ideas and innovate.
  • Academic or industrial working experiences in recommendation & search, natural language processing, deep learning, machine learning, or related fields.
  • Have strong programming skills, experienced in one or more programming languages including but not limited to: C/C++, Java, Python.

Interested candidates, who wish to apply for the advertised position, please click on "Apply Now". We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394

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