JobCubby JobCubby
Sign up
Appier

Senior Machine Learning Scientist (Enterprise Solution)

Appier Taipei, Taiwan

IT Services and IT Consulting · 501-1,000 employees

4 h ago
machine-learning Mid (2-5 yrs) Full-time Taiwan
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

You will be responsible for the end-to-end development of machine learning models, from problem definition to production deployment. You will also collaborate with product teams and ML engineers to ensure model reliability, performance, and continuous optimization.

What they look for

Machine Learning Python PyTorch TensorFlow User Intention Prediction User Segmentation Product Recommendation Campaign Content Optimization Send Time Optimization Model Deployment Data Analysis Claude Code OpenAI Codex Cursor Windsurf GitHub Copilot

Requirements

Candidates must hold a Master's or PhD in a relevant technical field and possess at least 3 years of experience applying machine learning techniques. Proficiency in Python and major ML frameworks is required, along with experience using AI-powered development tools.

Full 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.

#LI-TC1

Similar roles