In this role, you will leverage advanced content analysis and machine learning techniques to enhance the understanding and classification of diverse content types. Your mission is to drive innovation in content categorization, fake news detection, and bias analysis, ultimately supporting downstream applications such as personalized product recommendations.
The Team
Content understanding team is to advance the capabilities of content analysis through innovative and cutting-edge technologies. We strive to transform how content is understood, categorized, and utilized across various platforms, ensuring accuracy, relevance, and quality. By leveraging advanced machine learning, NLP, and data analytics, we aim to support and enhance downstream applications such as search, recommendations, and ads. Our goal is to deliver meaningful insights and improve user engagement by providing precise and contextually aware content analysis solutions. Through continuous research, development, and collaboration, aiming to make a significant impact on the content ecosystem for SmartNews.
We thrive on the challenge of transforming vast data into actionable insights. We continuously refine and innovate upon our algorithms to ensure that the information presented is not only relevant but also delivered with precision, enriching the user journey and driving SmartNews’ competitive edge.
In collaboration with cross-functional teams, we contribute to the seamless integration of our algorithms into various product facets, each designed to enhance user interactions and overall satisfaction. By blending data science, engineering prowess, and a passion for innovation, our team is committed to shaping SmartNews into a trusted and indispensable source of personalized content for millions of users worldwide.
Responsibilities
- Research and develop cutting-edge algorithms.
- Work end-to-end, from data and model to service.
- Manage expectations between product side and ML limitation.
- Develop ML pipeline to make engineers more productive.
- Content Understanding Team
- Analyze and categorize content to extract key insights, themes, and trends, ensuring alignment with user needs and product goals.
- Generate actionable signals from content to enhance recommendation systems, driving personalized and relevant user experiences.
- Collaborate with product teams to integrate content insights into product features and strategies, contributing to continuous improvement and product success.
Requirements
- 1+ years (0 for new grad) 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 recommendation systems, natural language processing, 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
- Fluent in Japanese
Nice to haves
While not specifically required, tell us if you have any of the following.
- Native in Japanese
- Experience relevant to search, recommendation, and Ads technologies.
- Experience with cloud-based architecture, such as Amazon Web Services (AWS).
- Strong interest in news and ads content understanding, aligned with our mission.
- In-depth knowledge of Generative AI (GAI) and expertise in leveraging it effectively.
