Sr Machine Learning Scientist/Sr Software Engineer, Top local news mobile application
Location: San Francisco, CA
Posted: 10/2020
ApplyDescription
The company is a leading mobile app of news aggregation services. It analyzes millions of articles to deliver most engaging information with high quality in near-real-time fashion to millions of users around the world. Our AI Foundation team is responsible to research and develop world-class AI algorithms that can be applied at large scale to accomplish our mission. It works on a range of content understanding, user modeling and recommendation problems, which include natural language processing tasks of classification, entity recognition, summarization, computer vision tasks of image/video classification, recommendation tasks of retrieving and ranking for relevance, etc. The team provides important content/user signals and state-of-art recommendation models to the News Ranking/Ads Ranking team to deliver the world's high-quality information to the people who need it.
RESPONSIBILITIES
Set technical and research directions for AI Foundation or and cross-team machine learning projects and able to lead its implementation
The ability to solve important issues of AI Foundation team from fundamental algorithm development, implementation and optimization to deliver product metrics
Lead cross-team projects to improve features/models that benefit company OKR
Identify new directions for the team to be industry leading in areas of personalized discovery and content understanding
In this position, you are expected to utilize your industry leading expertise on one or more of the following R&D areas to provide cutting edge solutions or core technologies for the company recommendation systems (Ads, News, etc).
- General Machine Learning, Deep Learning
- Natural Language Processing (entity recognition, categorization, text embedding, etc)
- Computer Vision (object recognition, multimodal content classification, etc)
- Knowledge Graph
- Recommendation and ranking algorithms
- Be great mentor to other machine learning scientists
Requirements
Minimum Qualifications
- 2+ 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
- Track record of successfully deliver improvement of features/models to production systems with high impact by working across teams and organizations
- Influential publications at top industry conferences/journals, well recognized in the industry for the domain of expertise
- Strong mentors of senior machine learning scientists and able to grow them to the next level
- Good written and spoken communication skills, can work across functional teams
- Strong coding skills in multiple programming languages (e.g. Java, C++, Python, Scala)
Preferred Qualifications
Strong interest in news media and our mission
Strong domain expertise in recommendation algorithms
M.S or Ph.D in computer science, mathematics, physics or other quantitative fields
Benefits
Equity included
100% medical, dental and vision insurance coverage (60% coverage for dependents)
Monthly housing, commute, mobile phone and gym allowances
401k matching program
Free lunch, snacks, drinks, etc.
Ming Dao School provides career development training for high tech professionals. In addition, we do charitable work to connect candidates with hiring managers and companies.
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