Company Introduction
The Fourth Paradigm is a major player in China's intelligent decision-making market, dedicated to rapidly implementing enterprise-level artificial intelligence on a large scale. We provide technologies, products, and solutions centered around "decision-oriented AI" and "generative AI", facilitating the digital transformation of traditional enterprises. Our clientele spans various industries including finance, retail, manufacturing, energy and electricity, telecommunications, and healthcare. At The Fourth Paradigm, we prioritize independent research and application of cutting-edge technologies across various AI fields, contributing to the development of national artificial intelligence technologies and application standards. Our expertise lies in areas such as Automatic Machine Learning (AutoML), Transfer Learning, Automatic Reinforcement Learning, and Environmental Learning. We released our self-developed multimodal large model product, "4Paradigm SageGPT", in February 2023, accumulating dozens of early AIGC industry applications in China. In September 2023, we were listed on the Hong Kong Stock Exchange.
Our Team
The Ministry of Science and Technology is currently focusing on cutting-edge technology research and application implementation in fields such as AI big models, computer vision, natural language processing, machine learning, decision optimization, and speech. Internally, we adopt a more equal and friendly open-source community model, allowing everyone to freely choose tasks according to their interests and wishes. In such an environment, you can have close contact with many different technical fields and business tracks, thereby quickly improving your comprehensive capabilities. We provide a first-class work environment, innovative work models, sufficient computing resources, and competitive compensation and benefits. If you are an outstanding R&D talent passionate about exploring cutting-edge technological developments and transforming advanced scientific research results into practical products, we look forward to your joining!
Base Locations: Beijing/Shanghai/Shenzhen/Wuhan/Singapore
Interview Format
If you are shortlisted, you will undergo the online written test stage, which includes code and algorithm questions. You will be notified of the specific time and arrangement of the written test through email and SMS. After passing the written test, you can enter the second interview stage. The entire interview process consists of about 2-3 rounds. If the interview is approved, the offer can be quickly issued for integration into the job.
Responsibilities:
- Participating in research and development, design, training, optimization, and deployment of relevant machine learning and reinforcement learning models, collaborating with the engineering team to produce enterprise-level algorithm products.
- To apply machine learning and reinforcement learning algorithms to practical scenarios to solve real-life business problems.
- Open-sourcing innovative practices via GitHub Repo/Paper/Tech Report and other forms.
Requirements:
- Bachelor's degree or above, familiar with one of the directions of machine learning, deep learning, data mining, reinforcement learning, etc.
- Good programming skills, proficient in programming languages such as Python/C++, excellent problem-solving and analysis abilities, passionate about solving challenging problems.
- Master algorithms corresponding to any of the following technical directions: AutoML, reinforcement learning, transfer learning, adversarial learning, convex optimization, search, recommendation, graph neural networks, knowledge graphs, etc.
- Strong algorithm implementation ability, familiar with deep learning platforms, best in PyTorch.
Bonus Points:
- Strong coding skills preferred, with experience in various competitions and awards (e.g., Kaggle, Tianchi, DF, DC, etc.), programming competitions such as ACM, or significant influence from open-source projects on GitHub.
- Priority given to those who have published papers in top international conferences or journals such as ICML, NeurIPS, ICLR, KDD, WebConf, AAAI, IJCAI.
- Relevant technical or competitive experience in the field of large model multimodality.
