--- title: 'Staff/Senior Software Engineer, Machine Learning Platform (Ad Cloud) - Tokyo at Appier' canonical: 'https://feeny.ai/job/staff-senior-software-engineer-machine-learning-platform-ad-cloud-tokyo-appier-j9hvz361e7xx' type: 'job' last_seen: '2026-10-12' --- # Staff/Senior Software Engineer, Machine Learning Platform (Ad Cloud) - Tokyo at Appier - **Company:** Appier - **Location:** Tokyo, Japan - **Posted:** 2026-04-28 - **Last confirmed live:** 2026-10-12 - **Apply:** https://job-boards.greenhouse.io/appier/jobs/7859928 ## Job description ## About Appier Appier is an AI-native Agentic AI as a Service (AaaS) 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](http://www.appier.com/) for more information. The Impact You’ll Make at Appier We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines. In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants. ## What You’ll Work On - Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation. - Design and operate robust ML job execution frameworks for training, inference, and post-processing. - Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform). - Design and monitor data infrastructure using ClickHouse and PostgreSQL. - Ensure high availability and observability through monitoring tools like Prometheus and Grafana. - Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities. - Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging. - Mentor junior engineers and help evolve team engineering culture and standards. ## What We’re Looking For - Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred. - 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering. - Strong coding proficiency in Python and/or Java, with experience building large-scale production systems. - Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm. - Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems. - Deep understanding of ML pipelines and distributed job execution in production environments. - Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity. - Strong ownership, architectural thinking, and ability to lead cross-functional platform projects. ## #LI-AK1 ## 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. 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