Senior Machine Learning Scientist (LLM & Agents)
This role focuses on developing advanced LLM-powered agent systems to solve complex marketing challenges by leveraging omnichannel customer data, requiring expertise in both cutting-edge AI architectures and real-world business applications. The Senior ML Scientist will collaborate with cross-functional teams to design scalable solutions that drive measurable ROI for enterprise clients.
Skills required
About this role
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 & Agents) 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
- You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
- Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth
- Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
- Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
- Collaborate with product teams to translate product goals and business requirements into well-defined machine learning problems
- Work closely with ML engineers to deploy models into production environments with reliability and maintainability
- Conduct offline and online evaluation, monitoring, and continuous optimization 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 designing, developing, and deploying enterprise LLM / agentic applications, including but not limited to:
- Skills / tools / function calling
- AI Protocol (MCP / A2A)
- Workflow orchestration
- Benchmark evaluation
- Experience collaborating across functions and leading industry projects
- Impact-driven mindset, strong analytical and problem-solving skills, and 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)
- Strong focus on quantitative metrics and systematic evaluation
- Industry experience in MarTech and passion for building customer-centric products
- Hands-on experience agentic product development, including
- Context engineering
- Harness engineering
- Evaluation / testing workflows
- Human-in-the-loop workflows
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