Research Collaborator

1 week ago

Singapore beBeeResearch Full time $80,000 - $120,000

Job Title: Research Associate

This role is an excellent opportunity to work on cutting-edge research projects involving foundational Large Language Models (LLMs). As a Research Associate, you will be responsible for conducting research and collaborating with colleagues on funded projects. You will identify, evaluate, and develop relevant technologies and resources.

Responsibilities:

  • Conduct research and collaborate on funded projects involving foundational LLMs.
  • Collect, normalize, and create datasets, as well as train LLMs.
  • Analyse and interpret LLM results, evaluate model performance and recommend methods for improvement.
  • Collaborate with legal and computing researchers on interdisciplinary projects.

Requirements:

  • Bachelors or Masters in Computer Science, Machine Learning, Artificial Intelligence or Computational Linguistics, with a strong knowledge of statistics, machine learning and optimisation.
  • Good to excellent command of English (oral and written); additional language proficiency is an advantage.
  • Familiarity with modern LLM architectures (transformer encoder, decoder and encoder-decoder models).
  • Experience handling large datasets, with strong structured and unstructured database management skills.
  • Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups.
  • Proficiency in Python, with additional skills in Regex, C++ and JavaScript a bonus.
  • Proficiency with Python-based neural network frameworks, especially PyTorch, and training LLMs on parallelised Nvidia architectures.
  • Strong interpersonal and communication skills, with the ability to work collaboratively in a team.
  • Self-motivated, organised, detail-oriented and able to work independently to meet deadlines.

Benefits:

  • A competitive remuneration package commensurate with qualifications and experience.
  • Eligibility to apply for research and conference funding to support attendance at academic conferences and pursue independent research.
  • Dedicated workstation and access to facilities and resources.

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