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're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model

What You’ll Work On

• Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy
• Leverage advance deep learning model to improve bidding/audience model performance
• Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
• 3+ years of industry experience on RTB ecosystem
• Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.

#LI-AK1

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 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 

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 for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#LI-AK1

【会社概要】

最先端のAI技術を活用し、マーケティングの課題を解決するAIネイティブのエージェント型AIサービス（AaaS）企業です。世界17拠点を展開し、既に1800社以上の企業を支援しています。

🔹 安定性 × イノベーション
最先端のAI業界で活動しながらも、大きく利益を創出。上場企業としての安定性と革新性を兼ね備えています。

🔹 世界トップクラスのR&Dチーム
研究開発チームは、AI、データ分析、分散処理システム、マーケティングの経験を持つ熱意あるメンバーで構成。Google、Intel、Yahoo出身者に加え、ハーバード大学やスタンフォード大学の著名なAI研究グループ出身者が多数在籍。

🔹 CEOのAI実績
弊社CEOは、アメリカでAI応用分野の最優秀論文に選出され、Googleの自動運転車の開発にも深く関与。世界的に評価されるAI分野のリーダーです。

Appier is an s 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 for more information.

We're looking for a commercially driven and ambitious Partnership Manager to scale our Enterprise Solutions presence in Japan.

About the role

The Partnership Manager will be responsible for sourcing new distribution partners for our Enterprise Solutions suite within the Japan region, analyzing and qualifying in accordance to Appier’s strategic needs. You will build close relationships with Appier’s channel partners and ensure performance standards. You will work with both our partners and internal teams to formulate a business plan and its operations to maximise mutual success. 

Responsibilities:

• Identify and source new partners within Japan, with a strong understanding of Appier’s Enterprise Solution product and market needs
• Serve as a main POC between Appier and potential partners, bridging internal resources to onboard new partners
• Formulating a strategic business plan with clear objectives for new partners including Go-To-Market plans
• Manage partner relations and channel performance, review & identify areas of improvement, implementing changes as necessary

Requirements:

• Minimum 6 years of experience, with a relevant background in Solution Sales/Business Development/Partnership Development 
• Commercially driven and a strong ambition to succeed

[Nice to have]

• Adtech/Martech industry knowledge
• Experience in either Cloud Services, ISV, MSP or a similar solution targeting Enterprise/Mid-Market markets
• Process driven, able to manage partner onboarding and forecasting
• Business English Level

【労働条件】

雇用形態：正社員

勤務地：〒105-0002 Tokyo, Minato City, Atago, 40F MORI Tower (Atago Green Hills), 2-5-1

(東京タワーと富士山がキレイに見えます！)

勤務時間：フレックスタイム制（コアタイム：10:30～15:30）

　　　　　※基本的に入社後3-6か月は出社となります。

有給休暇：初年度12日（入社時2日、法定有休は入社日より6ヶ月後付与）

福利厚生：

・MacとMicrosoft OSの選択可

・オフィスにフリースナック、ドリンク有

・全従業員の健康保険

・英語勉強補助あり

#LI-BD1　#LI-Hybrid

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 dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.

If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.

What You’ll Work On

• Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
• Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
• Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
• Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
• Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
• Mentor fellow scientists and contribute to the team’s technical standards and culture.

What We’re Looking For

[Minimum qualifications]

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
• Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
• Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
• Clear communicator who can explain technical ideas to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.
• Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.

[Preferred qualifications]

• Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
• Experience in the advertising technology or MarTech domain.
• Contributions to open-source projects or active involvement in research communities.

#LI-AK1

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

Our engineering team has a solid technical background, which would be a great environment for a skilled engineer.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 5+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

Language

Fluent in English or Chinese.

#LI-AK1

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 for more information.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#LI-AK1

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 for more information.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you’ll build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model.

What You’ll Work On

• Leverage scientific methods to build identify graph and identify high-value users
• Drive online experiments to continuously improve ROAS
• Own the project independently.
• Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
• 3+ years of industry experience on identify graph, ID mapping and cross-device mapping in digital Ads related fields, and generate mapping and profile under large-scale data.
• Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.

#LI-AK1

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.
In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.

What You’ll Work On

• Leverage scientific methods to improve ads measurement.
• Drive online experiments to continuously improve ads effectiveness.
• Own the project independently.
• Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
• 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
• Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.

Language

Fluent in English or Chinese.

#LI-AK1

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 for more information.

About the role

Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Staff Software Engineer, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also take responsibility for service operations – ensuring reliability, availability, and efficient deployment of large-scale distributed systems.

Responsibilities

• Engage in the design of large-scale backend systems and distributed services
• Contribute to technical roadmap and planning
• Collaborate with cross-functional teams to deliver robust and high-performance systems
• Troubleshoot production issues and contribute to root cause analysis
• Ensure high reliability through best practices in service operation, monitoring, and deployment
• Participate in on-call rotations and lead incident response when required

About You

[Minimum qualifications]

• 8+ years of experience in software development
• Proficient in modern C++ programming (C++11 and later)
• Familiar with Unix/Linux environments
• Solid understanding of system programming
• Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems
• Experience in service optimization and performance tuning
• Strong sense of ownership and good problem-solving skills

[Preferred qualifications]

• Experience in modern build systems
• Experience in operation automation tools
• Experience with monitoring, logging, and alerting frameworks

[Language]

Fluent in English or Chinese.

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-SW1 #LI-Hybrid

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

About the role

We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.

Responsibilities 

• Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
• Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
• Perform code reviews to ensure adherence to coding standards and best practices
• Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
• Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
• Stay updated with the latest industry trends and technologies, and continuously improve technical skills

About you 

[Minimum qualifications]

• Proven experience as a Backend Developer, with at least 8 years of professional experience.
• Strong understanding of programming languages and related web frameworks.
• Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
• Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
• Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
• Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
• Experience with databases (SQL and NoSQL) and ORM frameworks.
• Experience with OLAP database.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experience.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Experience in Java development
• Experience in developing data structures, algorithms on top of Big Data platforms
• Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Familiarity with Agile development methodologies.
• Familiarity with solving system performance issues or improving system performance
• Familiarity with SRE / DevOps related domains

#LI-BD1　#LI-Hybrid

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 for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

About the role

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture for OJM, Omni-channel Journey Map (https://www.appier.com/en/blog/customer-journey-map), and Aideal (https://www.appier.com/en/products/aideal). You will own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members
• Mentor engineers in cross-team development processes
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs
• Develop and operate scalable, reliable and maintainable service-based softwares and related components
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development.
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Typescript
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.
• Business-level proficiency in Chinese is required.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Jenkins).
• Continuous integration / continuous deployment.
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

#LI-AK1

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 for more information.

About the role

Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. We are looking for a Senior Backend Engineer with a strong focus on service operations to maintain and optimize our large-scale distributed systems. You will ensure our backend services run reliably and efficiently through automation, monitoring, and incident management.

Responsibilities 

• Manage system deployment, configuration, and release pipelines
• Design and manage automated deployment pipelines to ensure smooth and reliable releases
• Implement monitoring, alerting, and disaster recovery strategies
• Troubleshoot production incidents and perform root cause analysis
• Participate in on-call rotations and lead incident response when required
• Continuously evaluate and adopt new tools or technologies to improve operational workflows

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in backend engineering or site reliability engineering
• Familiar with Unix/Linux environments
• Scripting or programming skills in Python, Go, or Bash
• Experience in infrastructure-as-code tools
• A proactive mindset toward automation and continuous improvement and strong sense of ownership
  

[Preferred qualifications]

• Experience with cloud infrastructure
• Familiarity with CI/CD pipelines and observability tools
• Knowledge of performance profiling and load testing tools
• Exposure to security hardening, access control, or compliance auditing

[Language]:
Proficiency in Chinese

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-BD1 #LI-Hybrid

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 for more information.

About the role

Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services.

Responsibilities

• Design, implement, and optimize backend services
• Participate in code reviews and contribute to system design discussions
• Collaborate with cross-functional teams to deliver robust and high-performance systems
• Troubleshoot production issues and contribute to root cause analysis
• Support system deployment, monitoring, and maintenance in production environments
• Participate in on-call rotations and lead incident response when required

About You

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in software development
• Experience in modern C++ programming (C++11 and later)
• Familiar with Unix/Linux environments
• Good interpersonal and problem-solving skills and strong sense of ownership

[Preferred qualifications]

• Good understanding of system programming
• Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems
• Experience in service optimization and performance tuning
• Experience in modern build systems
• Experience in operation automation tools

[Language]

Fluent in English or Chinese.

Open to overseas candidates/Visa Support
This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-SW1 #LI-Hybrid

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 for more information.

About The Role

We’re building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers—faster execution, smarter budget allocation, and differentiated brand performance.

Our goal is to build Marketing Agents (e.g., Audience Agent, Campaign Agent and Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.

What You'll build

Agentic Marketing Automation

• Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report.
• Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps.
• One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products.

[Product Areas]

• Marketing Agents
  • Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
  • Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
• Consumer-Facing Agents
  • Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
  • Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
• Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.

Responsibilities 

Engineering leadership

• Lead a team of engineers (and partner closely with ML scientists) to deliver enterprise-grade agent and recommendation capabilities.
• Translate product goals into technical strategy, milestones, and execution plans; drive delivery with high quality and predictable cadence. 
• Establish engineering excellence: code quality, testing, observability, incident response, and continuous improvement.
• Build an environment of humble, hungry, smart execution—measure outcomes, iterate quickly, reduce waste.

Agentic Systems & ML Product Delivery

• Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation.
• Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows.
• Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs.
• Partner with Product, Design, Data/ML, and GTM to ensure model behavior aligns with user needs and business goals.

Stakeholder & Culture

• Drive stakeholder alignment: connect engineering objectives to business outcomes (revenue, retention, customer value).
• Promote an autonomous culture: empower autonomous decision-making for both the team and the systems you build.
• Manage fast-paced experimentation while ensuring security, compliance, and enterprise readiness.

About you 

[Minimum qualifications]

• 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role.
• Strong communication in English (written and verbal).
• Degree in Computer Science / Informatics or equivalent practical experience.
• Proven track record delivering enterprise-grade products (reliability, security, observability, performance).
• Experience working with or managing engineers and ML scientists.
• Experience delivering solutions using Agile principles.

[Preferred qualifications]

• Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation).
• Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization.
• Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse) and data governance.
• Experience with A/B testing and causal measurement; comfortable making tradeoffs using metrics.
• Exposure to MA/CRM domains: segmentation, journeys, omnichannel messaging, campaign ops, budget pacing.
• Experience in leading hybrid (onsite/remote) engineering team.

About Us (Appier Engineering)
At Appier Engineering, we aim to be humble, hungry and smart. We improve through constant measurement and feedback—building less and talking more to ensure outcomes users love while reducing waste. We innovate by failing well, adapt quickly, and stay efficient and responsive when needed. We’re looking for an Engineering Manager who embodies these values through work and life experiences.

Job Description

Our group was listed on the Tokyo Stock Exchange Mothers (currently the Growth Market) in March 2021 and transitioned to the TSE Prime Market in December 2022. On the business front, we have continued to grow both revenue and profit while expanding globally.

Amid this environment, the importance of investor relations (IR) is increasing in step with the expansion of our investor base. We are seeking a highly motivated individual to join us as an IR Manager(PR), contributing to further enhancement of our corporate value.

・Preparation for earnings announcements, including the creation of earnings presentation materials

・Responding to investor inquiries (participating in conferences and investor meetings)

・Developing IR strategies

・Communication with relevant internal departments

Qualification

【MUST】

・Over 5 years working experience (prefer to IR/PR related experience in the public companies)

・Frequent English capability (especially, professional writing skill for the presentation materials)

【WANT】

・Basic understanding financial accountings

・Bilingual Communication skill

#LI-Hybrid #LI-BD1

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

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 3+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

【会社概要】

最先端のAI技術を活用し、マーケティングの課題を解決するSaaS企業です。世界17拠点を展開し、既に1800社以上の企業を支援しています。

『ソフトウェアをよりスマートに、AIでROIを向上させる』
東京証券取引所プライム市場上場 ( Appier Group 証券コード：4180)

🔹 安定性 × イノベーション
最先端のAI業界で活動しながらも、大きく利益を創出。年間平均40%以上の売上成長を達成しています!

🔹 世界トップクラスのR&Dチーム
研究開発チームは、AI、データ分析、分散処理システム、マーケティングの経験を持つ熱意あるメンバーで構成。Google、Intel、Yahoo出身者に加え、ハーバード大学やスタンフォード大学の著名なAI研究グループ出身者が多数在籍。

🔹 CEOのAI実績
弊社CEOは、アメリカでAI応用分野の最優秀論文に選出され、Googleの自動運転車の開発にも深く関与。世界的に評価されるAI分野のリーダーです。

【仕事内容】

弊社広告ソリューションチームの営業職、ハンターセールス。

✅ハンターセールス新規開拓、および既存顧客への提案（アップセル）

✅クライアント（アプリ事業主・広告代理店・ゲーム会社・デジタルメディア・デジタルコンサルティングなど）の課題やニーズの把握、およびその課題解決方法の提案、効果分析

✅クライアントリサーチ（ビジネス、製品、サービス、顧客プロファイル、マーケティング、ビジネス目標、競合他社等について）

【担当プロダクト】

Appier CrossX ソリューション

AIBID: RTBを使ったDSPサービス(AIによる高精度ユーザーセグメント配信が実現)ー

AIXPERT　ーアプリインストール広告自動運用ツール

応募資格

【必須（MUST）】

・デジタル広告の営業経験　

・またはデジタルマーケティング業界での営業経験

【歓迎（WANT）】

・ソリューション営業の経験

・英語力

【求める人物像】

・対人スキル、自発性、遂行力を備え、目標達成に向けて強いコミットメントのある方

・広告主や媒体社との良好なコネクションと関係性を築くことのできる方

・複雑な技術プロセスをビジネスニーズに即して、意味のあるソリューションに「翻訳」する能力

・複数の優先事項に対応できる力をお持ちの方

【労働条件】

雇用形態：正社員

年収：面談結果にて、インセンティブキャップ無し!

勤務地：Hybrid, 〒105-0002 Tokyo, Minato City, Atago, 40F MORI Tower (Atago Green Hills), 2-5-1

(東京タワーと富士山がキレイに見えます！)

勤務時間：フレックスタイム制（コアタイム：10:30～15:30）

　　　　　※基本的に入社後3-6か月は出社となります。

有給休暇：初年度12日（入社時2日、法定有休は入社日より6ヶ月後付与）

福利厚生：

・MacとMicrosoft OSの選択可

・オフィスにフリースナック、ドリンク有

・全従業員の健康保険

・英語勉強補助あり

#LI-BD1　#LI-Hybrid

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012, 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.

Job Title:
RTB Advertising Optimization & GTM PM

Location:
Preferred: Tokyo Japan (or available to travel to Japan frequently)

About the Role:
We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists, campaign managers, and Japan-based business teams to improve RTB (Real-Time Bidding) campaign performance through model enhancements, market insights, and cross-functional collaboration. You will also support local business development and sales teams in identifying key market challenges and shaping the go-to-market strategy. This role offers the opportunity to work with large-scale A/B experiments across billions of ad requests daily and to directly influence product optimization efforts in the Japan market.

Key Responsibilities:

• Partner with data scientists and campaign managers to improve RTB model and algorithm performance.
  Collaborate closely with Japan-based Sales teams to identify business challenges, define product solutions, and support go-to-market strategies.
• Analyze competitor strategies and market trends to uncover optimization opportunities.
• Drive data-informed decision-making to improve campaign outcomes.
• Design and evaluate A/B experiments at scale using billions of daily auction requests.
  Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement.
• Explore and evaluate potential new signals to enhance model effectiveness.
• Work with the SSP partnership team to optimize traffic quality and supply-side performance.
• Coordinate cross-functional requirements with strong communication and alignment across regional and global teams.
  
  

Language Skills:

• Proficient in Japanese ///  Business-level English or Mandarin is a plus.
• Able to clearly communicate ideas and technical findings across both local and global stakeholders.

Bonus:

• Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.

• Experience working directly with Japanese clients or stakeholders is a strong advantage.