Technology FieldMachine LearningComputer Vision
Position Summary
We aim to develop groundbreaking tools and services through the application of deep generative models such as auto-regressive models and diffusion models. On our team, you will gain hands-on experience with exploratory and challenging projects, ranging from research and development to the creation of new applications based on research results.
As such, you will be responsible for the research and development of technologies for deep generative models in a project that focuses on automating or enhancing human tasks (such as design, data analytics, software development, etc.), as well as the implementation of developed algorithms for these systems.
Responsibilities
■ Research, development, and evaluation of state-of-the-art algorithms in deep generative models
■ Presentation of research progress.
■ Development of libraries for the practical use of research results.
■ Writing papers about research results to be submitted to scientific journals and/or top international conferences.
Required qualifications
■ A Master's or Ph.D. in Computer Science or a related field is required.
■ Expertise and excellent research track record in deep generative models and/or a related field.
■ Implementation skills to advance research and development in Python.
■ Strong communication, interpersonal, and presentation skills.
Preferred qualifications
■ One or more first-author research papers accepted at top-tier AI conferences or journals
■ Experience leading teams.
Product, Service
Our goal is to propose new services and/or new functions for existing products and services.
Development EnvironmentOS: Windows and Linux
Application Requirements
Essay: Required
Coding test: Not Required
Required Skills:Machine LearningOptional Skills: