---
title: 'AI Engineer, Playable Ads at Appier'
canonical: 'https://feeny.ai/job/ai-engineer-playable-ads-appier-taipei-fn4kxb24c7qa'
type: 'job'
last_seen: '2026-09-07'
---

# AI Engineer, Playable Ads at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/8102280

## Job 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 athttp://www.appier.com/[www.appier.com](https://www.appier.com).

## About the role

AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive higher engagement and conversion for apps and games worldwide. We’re looking for a Machine Learning Engineer to turn promising models and prototypes into reliable, scalable creative-generation systems used in real products.

This role sits at the intersection of applied ML and software engineering. You’ll work with scientists, backend and frontend engineers, product managers, and designers to build pipelines that generate, evaluate, and continuously improve ad creatives—while meeting production standards for quality, latency, cost, observability, and reliability.

## What You’ll Work On

- Build and operate reliable, scalable ML and generative AI pipelines that power automated content creation, personalization, and optimization across a range of creative formats and products.
- Productionize research prototypes and models by designing service and API contracts, containerized workers, asynchronous orchestration, artifact storage, and clear ownership boundaries.
- Apply modern ML—including LLMs, VLMs, multimodal generation, and agentic tool use—to improve creative quality, automation, and personalization.
- Engineer reliable workflows with schema validation, idempotency, retries, failure recovery, security, versioning, and end-to-end tests across staging and production.
- Define and monitor quality, latency, failure-rate, and generation-cost metrics; use logs, traces, evaluations, and experiments to diagnose bottlenecks and improve outcomes.
- Collaborate with scientists, backend and frontend engineers, product, and design to translate business needs into maintainable ML systems, document handoffs, and ship iteratively.

## What We’re Looking For

[Minimum qualifications]

- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field—or equivalent practical experience.
- 3 or more years of experience building production software or ML systems, with strong computer science fundamentals and a record of writing maintainable, tested code.
- Strong Python skills and hands-on experience with PyTorch, TensorFlow, or equivalent ML tooling.
- Practical experience taking models, prompts, or data workflows from prototype to production using APIs, containers, batch or stream processing, and cloud infrastructure.
- Experience with cloud and ML platform tooling such as Docker, Kubernetes, GCP, CI/CD, workflow orchestrators, message queues, Spark, or OpenTelemetry
- Understanding of production ML concerns including reproducibility, data and model versioning, evaluation, monitoring, failure handling, latency, and cost.
- Strong debugging and systems-thinking skills across distributed components such as queues, workers, storage, and external services.
- Clear communication and cross-functional collaboration skills; comfortable using AI-assisted development tools responsibly while validating their output.

[Preferred qualifications]

- Experience with generative media, creative optimization, advertising or MarTech, recommendation, or content-generation products.
- Experience designing agent tools, feedHands-on experience with generative AI or multimodal systems, such as LLMs, VLMs, image or video generation, RAG, tool use, or agent frameworks.
- back-loop pipelines, rigorous evaluations, or online experiments—and translating research into measurable product impact.

## #LI-TC1

## About Appier

## Company Overview
- **One-liner**: Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to turn AI into ROI through cutting-edge AdTech and MarTech solutions.
- **Entity Type**: Public (Tokyo Stock Exchange, ticker 4180)
- **Headquarters**: Taipei, Taiwan (with 17 offices globally including San Francisco)
- **Founded**: 2012
- **Founders**: Chih-Han Yu (CEO), Wan-Ling Lee (COO), Ming-Yu Chen (CSO), Chia-Yung Su (CTO), Che-Hsu Chang (CIO)

## Core Business
- **Primary industry**: AI-powered advertising technology (AdTech) and marketing technology (MarTech)
- **Target customers**: B2B – primarily enterprise and SMB businesses seeking AI-driven marketing automation, customer data platforms, and programmatic advertising
- **Mission**: "Making AI Easy" – helping businesses turn Agentic AI into ROI

## Products & Services
- **Ad Cloud**: Performance-driven advertising platform that automates creative testing, audience targeting, and campaign optimization to maximize ROAS.
- **Personalization Cloud**: Cross-channel customer engagement platform that personalizes every touchpoint using real-time AI adaptation (includes AIQUA).
- **Data Cloud (AIRIS)**: AI-powered Customer Data Platform (CDP) that centralizes, segments, and activates data for unified audience intelligence and real-time decision-making.
- **Other tools**: Aictivate (mobile gamer re-engagement), CrossX (advertising solution), BotBonnie (conversational marketing platform), AdCreative.ai (generative AI creative generation).

## Market Standing
- **Valuation/Cap**: Market capitalization not publicly available in the search results; company is listed on the Tokyo Stock Exchange (Prime section since 2025).
- **Key Metrics**: Total funding raised (estimated from disclosed rounds): ~$142M+ (Series A $6M, Series B1 $23M, Series C $33M, Series D $80M). Annual revenue not disclosed.
- **Notable Investors/Partners**: Sequoia Capital, SoftBank Group, LINE Corporation, NAVER, EDBI, AMTD Group, TGVest Capital, HOPU-ARM Innovation Fund, Temasek’s Pavilion Capital, JAFCO Asia/Investment, UMC Capital, TransLink Capital, MediaTek Ventures, Fontaine Capital, UOB Venture Management.
- **Growth Signals**: Expanded from 4-person start-up to 17 offices globally, serves 1,800+ customers, acquired Woopra (2022), BotBonnie, QGraph, Emin, AdCreative.ai; ranked top ROI-driving ad partner by Singular for two consecutive years; moved to TSE Prime listing in 2025.

## Competitive Advantages
- **Deep AI R&D**: 70% of R&D staff hold PhDs or Master’s degrees in AI/Big Data, with 400+ academic publications.
- **Agentic AI Platform**: Autonomous, adaptive agents for advertising, personalization, and data – built on proprietary machine learning, deep learning, and generative AI.
- **Full-funnel coverage**: Combines AdTech and MarTech in a unified AI-native stack.
- **Global footprint with localised expertise**: Strong presence across APAC, Europe, and US enables cross-border scalability.

## Strategic Focus
- **Agentic AI expansion** – further develop autonomous AI agents across advertising, personalization, and data clouds.
- **Global growth** – strengthen presence in US and European markets following recent acquisitions (AdCreative.ai, Woopra).
- **Generative AI innovation** – incorporate generative AI into creative and campaign workflows.
- **Sustainability & governance** – Received “AA” MSCI ESG rating, integrating ESG into operations.

## Why Work Here
- **Culture**: “H-appier” framework – Hungry (ambitious, fearless), Humble (open-minded, adaptive), Happier (direct communication, diversity & inclusion, growth). Strong emphasis on execution excellence and customer centricity.
- **Remote/Hybrid/Office**: 17 offices globally; specific policy not detailed but positions are likely hybrid/office-based depending on role (many engineering jobs listed in San Francisco, Taipei, etc.).
- **Team**: 642 total employees (Built In estimate); engineering roles heavily weighted in AI/ML.
- **Perks & environment**: “Start a career, not a job” – career growth tools, collaborative environment, celebration of wins.

## Sources
1. [appier.com](https://www.appier.com/en/)
2. [appier.com/about](https://www.appier.com/en/about)
3. [appier.com/career](https://www.appier.com/en/about/career/)
4. [greenhouse.io](http://job-boards.greenhouse.io/appier)
5. [builtin.com](https://builtin.com/company/appier)

## Other roles at Appier

- [Data Scientist, Analytics - Tokyo,Japan.](https://feeny.ai/job/data-scientist-analytics-tokyo-japan-appier-tokyo-55tbhp1hk5yz) — Tokyo, Japan
- [Product Manager / Technical PM — Data Engineering](https://feeny.ai/job/product-manager-technical-pm-data-engineering-appier-taipei-m9wy0rzbmcgb) — Taipei, Taiwan
- [Assistant Manager of Business Enablement](https://feeny.ai/job/assistant-manager-of-business-enablement-appier-taipei-epwv22be5msh) — Taipei, Taiwan
- [Software Engineer, Ads Solutions](https://feeny.ai/job/software-engineer-ads-solutions-appier-taipei-33k53pkdee0x) — Taipei, Taiwan
- [Senior Software Engineer, Data Backend](https://feeny.ai/job/senior-software-engineer-data-backend-appier-taipei-zv4njrkwc48a) — Taipei, Taiwan
- [Research Scientist (Generative & Agentic AI) - Tokyo,Japan.](https://feeny.ai/job/research-scientist-generative-agentic-ai-tokyo-japan-appier-tokyo-0fp9gmx6k9c5) — Tokyo, Japan
- [Digital Advertising Data Analyst](https://feeny.ai/job/digital-advertising-data-analyst-appier-taipei-hk4zaeyad3j2) — Taipei, Taiwan
- [PR Manager Taiwan](https://feeny.ai/job/pr-manager-taiwan-appier-taipei-k27aycfcah4q) — Taipei, Taiwan
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- [Senior HR C&B Specialist](https://feeny.ai/job/senior-hr-c-b-specialist-appier-taipei-hydcemfpbq5w) — Taipei, Taiwan