Every day, SmartNews analyzes millions of URLs to deliver the top articles that matter in near-real time to millions of users around the world. Our News Ranking team, along with our AI Foundation team, works on a range of recommendation and optimization problems, e.g. news feed ranking, push recommendation, search ranking/discovery, collaborative filtering, personalized recommendation, diversification to deliver the world's quality information to the people who need it.
Responsibilities
This is a hybrid of system engineering and machine learning role:
- Propose machine learning initiatives to fuel our business growth, build end to end machine learning framework/solution to improve our KPI/metrics
- Write server-side production code for applications that are robust and efficient
- Develop machine learning algorithms, combining with rule-based optimization to deliver improvement in product metrics
- Build recommendation and ranking algorithms for news articles
- Develop toolings to make ML engineers to be more productive
- Lead medium/large sized projects to improve news ranking
Requirements
Minimum Qualifications
- 3+ 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 certain domain of machine learning techniques, especially in natural language processing, recommendation systems, computer visions
- Strong software development skills with proven record of shipping changes to production that improved product metrics with machine learning technologies
- Able to have deep end-to-end understanding of sophisticated ranking systems and can proactively detect problems and make improvement suggestions
- Good written and spoken communication skills, can work across functional teams
- Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
- MS or BS in computer science, mathematics, physics or other quantitative fields
Preferred Qualifications
- Experience with cloud based architecture (e.g. Amazon Web Services)
- Strong interest in news media and our mission