Summary
✨ AI‑Generated
Join an enterprise-focused machine learning team applying advanced ML techniques to real-world marketing challenges. You will work with omnichannel customer data and own the end-to-end process from defining problems and developing models to driving deployment into production.
Highlights
Senior machine learning role focused on applying advanced ML to real-world marketing challenges, working with omnichannel customer data, and owning the process from problem definition through production deployment.
Description
About Appier
Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions.
Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making.
Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.
Learn more at www.appier.com.
About the Role
We are looking for a Senior Machine Learning Scientist to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.In this role, you will be responsible for end-to-end development, from problem definition to driving model deployment into production.
What You’ll Work On
Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization
Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage
Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability
Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment
Stay up to date with the latest research and proactively propose innovative applications
What We’re Looking For (Minimum)
Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.
3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.
Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.
Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot.
What We’re Looking For (Preferred)
Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.
Experience in cross-functional collaboration and leading industry projects.
Industry experience in MarTech and passion for building customer-centric products.
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