Privacy-Preserving LLM Tuning Engineer

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A research organization in AI in Singapore is seeking a motivated Research Engineer to advance trustworthy AI, emphasizing privacy-preserving methods for adapting large language models. Candidates will conduct cutting-edge research, tune LLMs, and contribute to open-source projects. A degree in Computer Science or a related field, strong programming skills in Python, and experience with LLMs are required. Applications can be sent to provided emails.

Qualifications

• 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.

Responsibilities

• Conduct research and development of LLM tuning paradigms.
• Contribute to privacy preserving LLM tuning experiments.
• Publish high-impact research in top-tier venues.

Skills

Deep learning

Natural language processing

Strong programming skills in Python

Familiarity with ML frameworks

Experience with open-source LLMs

Good communication skills

Education

Degree in Computer Science, Machine Learning, or related field

Tools

PyTorch

HuggingFace Transformers

Job description

A research organization in AI in Singapore is seeking a motivated Research Engineer to advance trustworthy AI, emphasizing privacy-preserving methods for adapting large language models. Candidates will conduct cutting-edge research, tune LLMs, and contribute to open-source projects. A degree in Computer Science or a related field, strong programming skills in Python, and experience with LLMs are required. Applications can be sent to provided emails.