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Home›Jobs›Appier› Senior Machine Learning Scientist, LLM
Appier

About Appier

AI solutions for smarter business decisions

🏢 Tech👥 251-1K📅 Founded 2012📍 Taipei City, Taiwan

Key Highlights

  • Headquartered in Taipei City, Taiwan
  • Over 1,000 clients including Toyota and Uniqlo
  • $80 million raised in funding
  • AI products like AIX and CrossX

Appier, headquartered in Taipei City, Taiwan, leverages Artificial Intelligence to provide data-driven marketing solutions for businesses. With over 1,000 clients across Asia, including major brands like Toyota and Uniqlo, Appier has raised $80 million in funding and is recognized for its AI-powered...

🎁 Benefits

Employees enjoy competitive salaries, stock options, flexible working hours, and generous PTO policies, including parental leave and remote work optio...

🌟 Culture

Appier fosters a culture of innovation and collaboration, emphasizing data-driven decision-making and a commitment to leveraging AI for impactful solu...

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Appier

Senior Machine Learning Scientist, LLM

Appier • Taipei, Taiwan

Posted 1 month ago🏛️ On-SiteSeniorMachine learning engineer📍 Taipei
Apply Now →

Job Description

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

 

About the Role

We are looking for a Senior Machine Learning Scientist, LLM 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 LLM-related topics: agents, chatbots, copilots, RAG systems
  • 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
  • (Optional) Mentor junior scientists and help evolve team developing culture and standards.

 

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 in machine learning or engineering roles
  • Experience in building and deploying enterprise-level LLM applications (e.g., intelligent agents)
  • Familiar with LLM evaluation techniques, including hallucination detection and confidence scoring, with an emphasis on quantitative metrics and systematic benchmarking.
  • Hands-on experience with multi-step reasoning, modular workflows (e.g., multi-component prompting, agent orchestration), and RAG pipelines
  • Experience in cross-functional collaboration and leading industry projects 
  • Strong sense of impact, with excellent analytical and problem-solving skills, and a passion for new technologies
  • Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

 

 

What We’re Looking For (Preferred)

  • Industry experience in the MarTech domain, with a strong passion for building customer-centric products
  • Experience with LLM toolkits or frameworks like LangChain, AutoGen, or Google ADK
  • Familiarity with prototyping tools such as Streamlit or Gradio
  • Knowledge of fine-tuning or adaptation techniques, such as LoRA or instruction tuning

 

 

#LI-AK1

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