Tai Po District, Hong Kong SAR
Salary not specified
Posted
Full-time
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Job Description

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 software engineering research tasks. • Insight investigation into new technology trends and promote the overall improvement of Huawei's software engineering 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 software 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 software engineering; • Ability to use intelligent technology to conduct software code analysis; • Ability to extract, abstract, express and generalize software 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 1. PhD in Computer Science/Software Engineering, related Machine Learning field, or equivalent relevant experience; • Experience with LLMs building is preferred; 2. Proficient in python or C++, deep understanding in common algorithms and data structures. 3. Strong publication record ( top conferences or journals in the related fields e.g., ICSE, FSE, ASE, ISSTA, TSE, and TOSEM) demonstrating innovative research. 4. Fulfill at least one of the requirements below: - Solid understanding in AI for Software engineering. - Experienced in deep learning and machine learning. Familiar with at least one framework (e.g. pytorch/tensorflow). - Experienced in advanced software engineering techniques, such as code generation, code search, test generation, and code review.

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