(Senior) Machine Learning Engineer, Recommendation Algorithm - Tokyo

About SmartNews

SmartNews is a global leader in redefining information and news discovery, committed to providing users with accurate, timely information and supporting quality journalism. We combine the power of our unique machine-learning technology with the expertise of our first-rate editorial team to bring news that matters to millions of users from our over 3,000 global publishing partners.

Founded in 2012 in Tokyo, Japan, SmartNews has offices in Tokyo, San Francisco, Palo Alto, New York, and Singapore.

The Team

The Ranking Team serves as the architect behind the cutting-edge algorithms and systems that power the SmartNews Product. Our scope encompasses a range of surfaces, most notably For You, Push Notifications, Follow Recommendations, Search, ads and so on.

At the core of our mission is the commitment to provide SmartNews users with an unparalleled experience in discovering quality information. Through our intricate algorithms, we curate and present content in a manner that resonates with personalization, fostering engagement and, in turn, bolstering critical business metrics including DAU, revenue, and user engagement.

Our team thrives 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

• Champion machine learning initiatives that drive business growth, conceptualizing and implementing comprehensive end-to-end machine learning frameworks and solutions to elevate our key performance indicators and metrics.
• Innovate and implement machine learning algorithms, seamlessly integrating rule-based optimization strategies, resulting in tangible enhancements across product metrics for our diverse array of offerings such as ads, feed, push notifications, and follow recommendations.
• Design, develop, and iterate recommendation and ranking algorithms on predictive models for candidate generation and ranking, including but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
• Write robust and efficient server-side production code, contributing to applications that meet the highest standards of reliability and performance.
• Spearhead the development of tools that empower our machine learning engineers, amplifying their productivity and effectiveness in bringing our solutions to fruition.
• Lead medium/large sized projects to improve ranking

Requirements

Minimum requirements

• 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 recommendation systems, natural language processing
• 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

Nice to have

• Experience relevant to Search/Recommendation/Ads Ranking
• Experience with cloud based architecture (e.g. Amazon Web Services)
• Strong interest in news media and our mission

Working condition

• Office Location: Tokyo

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Benefits

• Annual health check covered by the company 
• Visa sponsorship and overseas relocation support available for eligible candidates

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