Director/Senior Manager – AI Foundation




  • 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
  • Provide guidance, mentorship, and coaching to the foundation team
  • 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)
  • Lead cross-organizational projects to improve features/models that benefit company OKR
  • Set visions for company’s research direction to be industry leading in areas of personalized discovery, natural language processing and related areas
  • 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
  • General Machine Learning, Deep Learning
  • Natural Language Processing (entity recognition, categorization, text embedding, etc)
  • Computer Vision, Image Processing
  • Knowledge Graph
  • Recommendation, Collaborative Filtering Algorithms
  • Promote AI first culture and distill AI mindset across engineering teams



  • Minimum Qualifications
    • 8+ years of experience in designing and implementing state-of-the-art machine learning algorithms, and applying them to real world problems
    • Industry leading expertise in certain domain of machine learning techniques, especially in deep learning, natural language processing, recommendation systems, computer visions
    • Long term track record of leading AI teams to successfully deliver improvement of features/models to production systems with high impact
    • Able to build a strong team through hiring, as well as mentoring/growing machine learning scientists by constantly challenging them with solid support
    • Strong leadership and communication skills
    • D in computer science, mathematics, physics or other quantitative fields
  • Preferred Qualifications
    • Strong interest in news media and our mission
    • Strong domain expertise in recommendation algorithms