【RD】AI Business Research Developer

职责

We are seeking AI Research Developers with a strong background in AI system to join our innovative team. This role will focus on addressing critical challenges in AI/ML system. The ideal candidate will combine advanced research capabilities with practical development skills to create robust AI systems.

Job Overview
As AI Research Developer, you will participate in research and development efforts to solve complex challenges in AI system implementation, with specific focus on ML frameworks. You will work at the intersection of cutting-edge AI research and practical system development, delivering solutions that maintain both innovation and security.

Key Responsibilities
1.    Research and develop robust ML frameworks to address implementation gaps in AI systems
2.    Design and implement solutions for AI/ML challenges
3.    Develop protective measures against implementation risks
4.    Join cross-functional teams in implementing research findings into production-ready AI solutions
5.    Create and optimize AI algorithms and models as primary considerations
6.    Conduct empirical research to validate the effectiveness of Acer solutions
7.    Stay updated with the latest advancements in AI research and implementation techniques

This position offers the opportunity to work on cutting-edge AI challenges while contributing to the development of Acer AI systems. Join our team to make significant advancements in creating AI systems. Your expertise will be instrumental in establishing Acer as a leader in trustworthy AI implementation, directly impacting products and services used by millions worldwide.

工作需求条件

Requirements
1.    Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, Electronic Engineering, Electrical Engineering, Information Science, or a closely related field.

2.    No minimum experience requirements in AI/ML research and development but willing to learn
3.    Demonstrated expertise in addressing information security
4.    Strong track record of solving issues in complex AI systems
5.    Experience implementing Linux/Windows system software
6.    Proficiency in programming languages such as Python, C, or C++ with emphasis on open-source practices
7.    Deep understanding of machine learning frameworks, neural networks, and AI system architecture
Skills and Qualities
1.    Exceptional problem-solving abilities with an open mindset
2.    Strong analytical skills for identifying potential solutions in AI implementations
3.    Excellent communication skills to explain complex systems to technical and non-technical stakeholders
4.    Ability to balance innovative research with practical implementations
5.    Collaborative approach to working with cross-functional teams