Research Engineer

2 days ago

One North, Singapore 3200f35e-d361-4ac5-a1af-c293a6ba23c2 Full time $80,000 - $120,000 per year

A*STAR Centre for Frontier AI Research (A*STAR CFAR) is seeking a motivated and skilled Research Engineer to join our team focused on advancing trustworthy AI, with a specific emphasis on privacy-preserving methods for adapting large language model (LLM) to downstream tasks. The successful candidate will contribute to cutting-edge research on how to effectively tune or adapt LLMs without compromising both data privacy and model privacy.

Key Responsibilities:

Successful candidates will be responsible, but not limited to:

  • Conduct research and development of LLM tuning paradigms.
  • Directly contribute to experiments of privacy preserving LLM tuning, including designing experimental details, writing reusable code, running evaluations, and organizing results.
  • Directly contribute to Agentic AI of code generation, compilers, debugging, etc.
  • Evaluate utility, privacy, and efficiency trade-offs among compared baselines.
  • Publish high-impact research in top-tier venues. (e.g., NeurIPS, ICLR, ACL, IEEE S&P).
  • Contribute to open-source tools and frameworks; and potentially guide junior researchers or interns.

Requirements:

  • Degree in Computer Science, Machine Learning, or related field.
  • Strong background in deep learning, natural language processing, or large-scale optimization.
  • Demonstrated experience in working with open-source LLMs. (e.g., fine-tuning, instruction tuning, prompt engineering)
  • Familiarity with privacy-preserving machine learning concepts. (e.g., federated learning, synthetic data).
  • Strong programming skills in Python and experience with ML frameworks. (e.g., PyTorch, HuggingFace Transformers).
  • Good written and verbal communication skills.

Please submit your CV, a short research statement (if available) to .a- and .a-

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