AI Security Researcher

Responsibilities

Research and development in one (or more) of the projects below:

• Conduct and apply LLMs (Large Language Models) to design and implement intelligent technologies for improving various security engineer/scientist research tasks.
• Insight investigation into new technology trends and promote the overall improvement of Huawei's security engineer/scientist capabilities based on LLMs by introducing industry-leading technologies, tools, standards, best practices, and independent innovations.
• Collaborate closely with researchers and product teams to help them improve security engineer/scientist development activities and integrate solutions into the product.
• Write and submit patentable inventions or research papers (at top-tier conferences).

Professional Knowledge

Research and development in one (or more) of the projects below:

• Background on LLMs technology such as GPT/BERT/T5;
• Ability to skillfully apply LLMs related technology to conduct technical research in the field of security engineer/scientist;
• Ability to use intelligent technology to conduct software code analysis;
• Ability to extract, abstract, express and generalize security knowledge/code knowledge using AI or large model;
• Ability to search, recommend, complete and generate code (business code and test code) based on LLMs is preferred;
• Ability to develop code detection, defect detection, defect repair, log generation, etc. based on LLMs is preferred;
• Candidate who have published research papers
• A highly self-motivated learner and team player with excellent communication and interpersonal skills is preferred.

Service Skills

• PhD in Computer Science/security engineer, related Machine Learning field, or equivalent relevant experience;
• Experience with LLMs building is preferred;
• Proficient in python or C++, deep understanding in common algorithms and data structures.
• Strong publication record ( top conferences or journals in the related fields e.g., ICSE, FSE, ASE, ISSTA, TSE, and TOSEM) demonstrating innovative research.
• Fulfill at least one of the requirements below:
• Solid understanding in AI for security engineer/scientist.
• Experienced in deep learning and machine learning. Familiar with at least one framework (e.g. pytorch/tensorflow).
• Experienced in advanced security engineer/scientist techniques