Senior Machine Learning Scientist
SmartNews, China

• Set technical and research directions for one of more of major areas of AI Foundation and able to lead its implementation
• able to improve and adapt the state-of-the-art deep learning algorithms to the most challenging problems in news feed application
• Lead cross-functional projects to improve features/models that benefit company OKR
• In this position, you are expected to have deep domain expertise on one or more of following Ramp;D areas to provide cutting edge solutions or core technologies for SmartNews recommendation systems (Ads, News, etc)
  • General deep learning algorithms
  • Natural Language Processing (information extraction, text classification, text embedding, generation, summarization etc.
  • Computer Vision, Image Processing
  • Knowledge Graph
  • Recommendation, Collaborative Filtering Algorithms

Requirements

Requirements

Minimum Qualifications

• 6+ years of experience in designing and implementing machine learning algorithms, and applying them to real world problems
• Solid Machine Learning background and deep understanding of cutting edge deep learning techniques, especially in natural language processing, recommendation systems, computer vision OR solid background and rich experience in deep learning techniques and applications, including but not limited to Transformer architecture and attention mechanism, reinforcement learning, GAN, few shot learning, graph neural network
• Experienced to deliver improvement of features/models to production systems with support of cross-functional teams
• Ability to optimize/debug hardest feature/model problems of the team
• have good publication records in advancing the state of the art in his/her domain of expertise
• have records in surpassing competitors with respect to certain product features
• Good written and spoken communication skills, can work across functional teams
• Strong coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
• MS in computer science, mathematics, physics or other quantitative fields

Preferred Qualifications

• Ph.D Degree in computer science, mathematics, physics or other quantitative fields
• Strong interest in news media and our mission

Job Rewards and Benefits