I. Algorithm and Application Engineer Intern

Job Description: This position is open to current students of any degree level and any university; ability is all that matters. We provide GPU resources and one-on-one guidance from a mentor. The aim is to jointly research natural language processing technologies such as archival resource organization and mining and multimodal intelligent document understanding. Work results may be developed into papers at top conferences and in top journals.

Responsibilities: Data processing, algorithm development and feature implementation for document understanding models; development, testing, deployment and maintenance of industry applications based on ChatGPT-like large language models.

Required Skills: Familiarity with mainstream neural network models such as Transformer; solid foundation in python programming; proficiency in the pytorch programming framework.

Other Requirements: A positive work attitude, eagerness to learn and think independently, and a strong sense of responsibility;

Enrolled at a university in Wuhan and able to work on site 4 days a week.

II. Algorithm and Application Engineer NLP Focus Areas

Responsibilities:

1. Develop, test and deploy intelligent products of the lab;

2. Research and apply algorithms for the intelligent understanding and development of archival documents in the lab;

3. Apply, investigate and innovate cutting-edge technologies related to natural language processing and large models, and explore new solutions to practical problems in projects.

Requirements:

1. Master's degree or above in computer science or a related field; familiarity with mainstream machine learning, deep learning and optimization algorithms, and strong programming skills with open-source code;

2. Strong interest in natural language processing, multimodal document understanding, large language models and related fields; experience in developing large model applications is preferred;

3. Good coding and algorithm skills; proficiency in the python/java programming languages

4. Familiarity with deep learning frameworks such as Tensorflow, and experience in related NLP projects

5. A conscientious and responsible work attitude, with good communication, teamwork and written reporting skills;

6. Candidates who have published academic papers at CCF A/B conferences or in CCF A/B journals are preferred;

III. Research Assistant

Responsibilities:

1. Help formulate and improve work plans in line with the research directions of the lab, and carry them out;

2. Coordinate the work of project teams, including writing project proposals, research plans, final reports and other related materials;

3. Handle day-to-day inquiries and communication for project teams, and organize related meetings;

4. Complete other tasks assigned by supervisors.

Requirements:

1. Full-time bachelor's degree or above; a background in information resource management or computer science is preferred;

2. Excellent logical analysis and summarization skills, and good writing and verbal communication skills;

3. Strong communication, organization and coordination skills, and the ability to work well in a team;

4. Strict adherence to research ethics and academic norms, a proactive work attitude, and a strong sense of dedication and responsibility;

IV. Product Manager

Responsibilities:

1. Design and plan the products of the lab, including preliminary market research, competitor analysis and data organization; translate market feedback and actual product needs into feasible product designs, and produce PRDs, flowcharts, requirement descriptions and product specification documents;

2. Communicate and coordinate with R&D, testing and other teams, and drive progress to ensure that products are delivered as planned;

3. Present products, and provide product training and explanations to relevant departments and groups;

4. Coordinate work related to product release and marketing, including but not limited to producing documents such as product introductions and user manuals;

Requirements:

1. Bachelor's degree or above; majors related to computer science and information resource management are preferred;

2. Work experience in archival informatization projects is preferred;

3. At least 2 years of experience in product design and implementation, having led at least one product design and implementation from 0 to 1;

4. Sensitivity to products and operations, with clear and organized thinking; sensitivity to data, and good at finding and solving problems;

5. Documentation skills and proficiency in tools such as office, Visio, Axure and MindManager;

6. Good communication, execution, overall coordination, self-motivation and stress management skills, with a strong sense of responsibility and team spirit.

Application Procedure:

1. Applicants should send a detailed resume to arcids@whu.edu.cn (please name the resume file "Position + University + Major + Name"). Contact: 18164035755, Teacher Zhang

2. The lab will conduct a preliminary review of the application materials and notify qualified applicants by phone to take part in the subsequent written test or interview.