Physics Simulation Algorithm Engineer - Singapore - FOURTH PARADIGM SOUTHEAST ASIA PTE. LTD.

Description

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:

• Participate in the development of the company's AI environment simulator.
• Explore simulation environment models and develop methods for rapid deep learning model implementation (supervised learning, POD, PINN, parameter estimation).
• Explore the application of machine learning methods in geometric optimization of physical fields.

Requirements:

• Solid foundation in machine learning, with relevant experience in physical simulation, discrete simulation, and parameter estimation.
• Experience with PINN, data-driven model dimensionality reduction (e.g., POD), supervised learning, and inverse reinforcement learning.
• Proficiency in Python, strong coding skills, strong research and learning abilities, good mathematical foundation.

Preferred Qualifications:

• Strong coding skills preferred, with various competition awards (e.g., Kaggle, Tianchi, DF, DC) or participation in ACM programming competitions, or significant impact from open-source projects on GitHub.
• Publication of papers at top conferences or journals such as Interspeech, ICASSP, ACL, EMNLP, NAACL.
• Research and application experience in simulation simulators, physics neural networks, and data-driven model dimensionality reduction learning.
• Experience using commercial/open-source physics simulation software.