How do I apply for this job on JobQuip?

Click the Apply button at the top of this page. You'll be directed to the employer's official application page or our secure application form. We never charge a fee to apply.

Is this position remote or on-site?

The work arrangement (remote, hybrid, or on-site) is shown in the job header. Remote roles can be performed from anywhere the employer allows; hybrid roles usually require some office time.

What should I prepare for my application?

Tailor your resume to the role, highlight relevant experience, and include a concise cover note. Many employers use ATS software, so use standard headings and avoid heavy formatting.

How can I tell if a job posting is legitimate?

Legitimate employers never ask for payment or sensitive personal data (such as your ID or bank details) during the application. JobQuip verifies sources, but always research the company independently.

How fresh are the listings on JobQuip?

Our inventory refreshes daily and removes expired roles. Most active listings were posted within the last 90 days, so you're seeing roles that are genuinely open.

AI Engineer, Playable Ads - Tokyo | JobQuip Sync

Descrição

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 at 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.