Our Client is a well-known listed Internet company, is looking for an AI Foundation Director in Shanghai city.

Requirements:

--Minimum Qualifications

1.     8+ years of experience in designing and implementing state-of-the-art machine learning algorithms, and applying them to real world problems

2.     Industry leading expertise in certain domain of machine learning techniques, especially in deep learning, natural language processing, recommendation systems, computer visions

3.     Long term track record of leading AI teams to successfully deliver improvement of features/models to production systems with high impact

4.     Able to build a strong team through hiring, as well as mentoring/growing machine learning scientists by constantly challenging them with solid support

5.     Strong leadership and communication skills

6.     Ph.D in computer science, mathematics, physics or other quantitative fields

--Preferred Qualifications

1.     Strong interest in news media and our mission

2.     Strong domain expertise in recommendation algorithms

Responsibility:

1.     Build and manage an organization that could include multiple teams to accomplish company objectives for developing and implementing state-of-art machine learning algorithms that have product impact

2.     Provide guidance, mentorship, and coaching to the foundation team

3.     Collaborate with key stakeholders and partners to understand business needs, set technical and research roadmap for AI Foundation or even company level machine learning roadmaps (at Director level)

4.     Lead cross-organizational projects to improve features/models that benefit company OKR

5.     Set visions for company’s research direction to be industry leading in areas of personalized discovery, natural language processing and related areas

6.     In this position, you are expected to lead your team members on one or more of following R&D areas to provide cutting edge solutions or core technologies for SmartNews. At this senior management level, you are required to have overall understanding of corporate AI landscape, and set visions/roadmaps in its directions with senior members of the team

7.     General Machine Learning, Deep Learning

8.     Natural Language Processing (entity recognition, categorization, text embedding, etc)

9.     Computer Vision, Image Processing

10.   Knowledge Graph

11.   Recommendation, Collaborative Filtering Algorithms

12.   Promote AI first culture and distill AI mindset across engineering teams