Taipei, Taiwan
Open 6 months, first seen by us 204 days agoWe are looking for a Machine Learning Scientist (LLM & Agents) to join the Enterprise Solution Science Team.
You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
Design and build agent capabilities as reusable skills and MCP tools
Bring predictive models such as propensity, churn and recommendation into agent workflows
Build evaluation using test sets, LLM-as-a-judge and production trace review
Make agents faster and cheaper without losing answer quality
Write design docs, break work into reviewable PRs, and review teammates' code
We are looking for a 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 own agent features end to end — from problem definition and design, to shipping, to measuring and improving quality in production.
You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
Build agent capabilities as reusable skills and MCP tools
Bring predictive models (e.g. propensity, churn, recommendation) into agent workflows
Build evaluation — test sets, LLM-as-a-judge, production trace review
Make agents faster and cheaper without losing answer quality
Write design docs, break work into reviewable PRs, and review teammates’ code
Bachelor’s degree or above in Computer Science, Machine Learning, Statistics, or a related field
2+ years of experience in ML or software engineering roles
Hands-on experience building with MCP and agent skills
Hands-on experience with at least one agent harness
Strong SQL and data reasoning
Experience with Databricks or Spark; LLM observability tools (e.g. Langfuse)
What We’re Looking For (Minimum Qualifications) - Bachelor’s degree or above in Computer Science, Machine Learning, Statistics, or a related field - 2+ years of experience in ML or software engineering roles
- Experience with Databricks or Spark; LLM observability tools (e.g. Langfuse) - Master’s or PhD degree - Industry experience in MarTech and passion for building customer-centric products
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Appier’s usual: its jobs come down by about day 77.
From 4,444 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Can profile and reduce end-to-end latency and cost of an agent — e.g. fewer model round-trips, better tool design, caching, model choice — without hurting answer quality - Writes production-quality Python with tests - AI-native development: works daily with coding agents that read the codebase, run tests and iterate on their own, while you set the scope and review the diffs. Can explain and correct what the agent produced
- Strategy Agent: Transform raw data into actionable, revenue-driving strategies and high-potential audience segments. - Data Analysis Agent: Answer business questions by planning multi-step analyses and running SQL over large customer datasets, with every number traceable to the query that produced it. - Sales and Service Agent: Drive sales conversion, increase average order value (AOV), and deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
- Can design evaluation for non-deterministic LLM output, including test sets, metrics, and the limits of LLM-as-a-judge - Strong SQL and data reasoning: can write and review analytical queries and tell when a result is wrong - Can profile and reduce end-to-end latency and cost of an agent — e.g. fewer model round-trips, better tool design, caching, model choice — without hurting answer quality
- Background in predictive modeling, segmentation, or experiment design; understands correlation vs causation - Experience with Databricks or Spark; LLM observability tools (e.g. Langfuse) - Master’s or PhD degree
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 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 own agent features end to end — from problem definition and design, to shipping, to measuring and improving quality in production.
What You’ll Work On
What We’re Looking For (Minimum Qualifications)
Preferred Qualifications
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Taipei, Taiwan
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