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, Appiers 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 Youll 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 Were Looking For (Minimum)
- Masters 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 Were 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
