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Machine Learning Engineer - Recommendation Algorithms

SmartNews Inc.Shibuya, Tokyo, Japan
On-site Full-time

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Experience Level

Experience

Qualifications

In this role, you will:Translate business objectives and product strategies into effective machine learning solutions that foster personalized experiences on a large scale. Design, experiment with, and optimize ranking strategies that significantly affect user engagement, retention, and monetization across essential SmartNews platforms. Work collaboratively with Product, Business, and cross-functional engineering teams to pinpoint opportunities, define success metrics, and implement impactful ML solutions.

About the job

Join the SmartNews Team!

SmartNews Inc. is a pioneering global information and news discovery platform committed to providing high-quality information to those who seek it. Leveraging our innovative machine-learning technology and fostering partnerships with over 3,000 global publishers, we deliver news that matters to millions.

Founded in 2012 in Tokyo, SmartNews has expanded its reach with offices located in Osaka, Palo Alto, New York, and Singapore.

If you are aligned with our vision and driven by our mission, we warmly invite you to apply!

Our Team

The Vertical Ranking Team is responsible for developing machine learning systems that enhance personalized user experiences at SmartNews. We collaborate closely with Product and Business teams to create scalable recommendation solutions that boost user engagement and drive revenue across key features such as For You, Push Notifications, Follow Recommendations, Search, Ads, and new vertical experiences.

Our initiatives merge business impact with machine learning innovation. We translate product requirements into effective ranking strategies that optimize user engagement, retention, and monetization. From feature design to model development, experimentation, and iterative online improvements, we play a vital role in refining the recommendation pipeline to achieve tangible results.

Our environment is dynamic, with a focus on real-world impact. Every model is assessed against clear business metrics. By utilizing large-scale behavioral data, advanced modeling techniques, and rigorous A/B testing, we continuously enhance performance and elevate the quality of recommendations for our users.

We value strong ownership and accountability, ensuring that each initiative is data-driven, aligned with business objectives, and contributes to strengthening both vertical strategies and the overall recommendation ecosystem.

If you are passionate about applying machine learning to tackle significant business challenges and keen on shaping recommendation strategies that directly influence growth, the Vertical Ranking Team offers an exceptional opportunity to drive impactful results at scale.

About SmartNews Inc.

SmartNews Inc. stands at the forefront of global news and information discovery, using cutting-edge technology to transform the way people engage with the news. With a commitment to quality and reliability, we serve millions of users worldwide, making critical information accessible through our unique platform.

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