Senior Machine Learning Scientist - Advertising Cloud

AppierTokyo, Japan

On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications:Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s or PhD is preferred. Proven experience in developing and deploying machine learning models. Strong programming skills in languages such as Python, Java, or R. Experience with big data technologies and frameworks (e.g., Hadoop, Spark). Ability to work collaboratively in a fast-paced, team-oriented environment. Exceptional analytical and problem-solving skills.

About the job

About Appier

Appier is a pioneering software-as-a-service (SaaS) provider that leverages artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with the goal of democratizing AI, our mission is to transform AI into measurable ROI by creating intelligent software solutions. With 17 offices across APAC, Europe, and the U. S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For further details, visit www.appier.com.

Open to Overseas Candidates/Visa Support
This role is located in Tokyo, Japan. Appier offers visa sponsorship to international candidates, ensuring a smooth transition to Japan.

Your Impact at Appier

We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is at the forefront of developing core machine learning algorithms that optimize campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an immense scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

Our engineering team boasts a robust technical background, offering an ideal environment for a talented engineer.

In this role, you will significantly influence the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a dynamic market landscape.

Key Responsibilities

Design, implement, and productionize state-of-the-art ML models to enhance campaign outcomes.
Analyze large-scale user and auction data to uncover predictive patterns and alpha signals that boost bidding and personalization.
Collaborate across functions with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

About Appier

Appier is not just a SaaS company; we are innovators at the intersection of technology and business. Our focus on artificial intelligence allows us to empower organizations to make informed decisions, optimize their marketing efforts, and drive revenue growth. By joining Appier, you become part of a mission-driven team dedicated to making AI accessible and beneficial for all businesses.

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Jan 30, 2026

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Senior Machine Learning Scientist - Advertising Cloud

Appier

Full-time|On-site|Tokyo, Japan

About AppierAppier is a pioneering software-as-a-service (SaaS) provider that leverages artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with the goal of democratizing AI, our mission is to transform AI into measurable ROI by creating intelligent software solutions. With 17 offices across APAC, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For further details, visit www.appier.com.Open to Overseas Candidates/Visa SupportThis role is located in Tokyo, Japan. Appier offers visa sponsorship to international candidates, ensuring a smooth transition to Japan.Your Impact at AppierWe are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is at the forefront of developing core machine learning algorithms that optimize campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an immense scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery.Our engineering team boasts a robust technical background, offering an ideal environment for a talented engineer.In this role, you will significantly influence the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a dynamic market landscape.Key ResponsibilitiesDesign, implement, and productionize state-of-the-art ML models to enhance campaign outcomes.Analyze large-scale user and auction data to uncover predictive patterns and alpha signals that boost bidding and personalization.Collaborate across functions with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

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Senior Machine Learning Scientist - Ads Incrementality at Appier | Tokyo

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About Appier Appier is an innovative software-as-a-service (SaaS) company harnessing the power of artificial intelligence (AI) to revolutionize business decision-making. Established in 2012 with the goal of democratizing AI, Appier is dedicated to transforming AI into measurable ROI through intelligent software solutions. With 17 offices across APAC, Europe, and the U.S., we are proudly listed on the Tokyo Stock Exchange (Ticker number: 4180). Discover more about us at www.appier.com. Open to International Candidates/Visa SupportThis position is located in Tokyo, Japan. Appier’s Japan office provides visa sponsorship to facilitate a seamless relocation for international candidates. Your Impact at Appier We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team drives the advancement of core machine learning algorithms that enhance campaign efficiency and boost advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second (QPS), all supported by our proprietary deep learning models focused on bidding, pricing, and personalized content delivery. In this role, you will evaluate ads incrementality across various traffic types, creative formats, and user segments, and leverage machine learning models and AI automation to enhance campaign efficiency. Key Responsibilities Utilize scientific methods to improve ads measurement. Conduct online experiments to consistently enhance ad effectiveness. Independently manage projects from inception to completion. Collaborate with product stakeholders, backend, and frontend teams to deliver measurement solutions for our clients.

Oct 31, 2025

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Senior Machine Learning Scientist (Ad Cloud) - Tokyo, Japan

Appier Inc.

Full-time|On-site|Tokyo, Japan

Join Appier as a Senior Machine Learning Scientist!Appier, an innovative leader in AI-native solutions, is dedicated to transforming business decision-making through advanced artificial intelligence. Established in 2012, our goal is to democratize AI, enabling companies to achieve a high return on investment through intelligent software solutions. With a presence in 17 offices across the Asia-Pacific, Europe, and the U.S., we are publicly listed on the Tokyo Stock Exchange (Ticker: 4180). Learn more about us at www.appier.com.Visa Sponsorship for International CandidatesThis role is located in Tokyo, Japan. For overseas applicants, Appier offers visa sponsorship to facilitate your relocation.Your Impact at AppierAs a Senior Machine Learning Scientist, you will join our Advertising Cloud Optimization team, spearheading the development of vital machine learning algorithms that enhance campaign performance and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second, all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery.In this role, you will significantly influence the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring robust system performance in a fast-paced market.Your ResponsibilitiesArchitect, implement, and deploy cutting-edge machine learning models to optimize campaign results.Examine extensive user and auction datasets to uncover predictive patterns and alpha signals that improve bidding and personalization.Collaborate with cross-functional teams in engineering, product, and data to identify opportunities, establish roadmaps, and deliver impactful solutions.Continuously enhance system performance through offline experimentation and online testing methodologies (e.g., A/B tests, incremental learning).Qualifications We SeekA Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; a Master’s or PhD is preferred.Minimum of 4 years of experience in the ad tech industry, focusing on performance optimization and machine learning applications.

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