Senior Software Engineer in Machine Learning at Appier | Taipei

About Appier Appier is a cutting-edge software-as-a-service (SaaS) firm leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the goal of democratizing AI, our mission is to convert AI into tangible ROI by crafting intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appie…

About Appier Appier stands as a premier SaaS company dedicated to empowering organizations with innovative artificial intelligence (AI) solutions that enhance decision-making processes. Established in 2012, our mission is to democratize AI by transforming intricate data into actionable insights, ensuring AI is both accessible and profitable for businesses. With 17 offices spread across APAC, Europe, and the U.S., and publicly traded on the Tokyo Stock Exchange (Ticker: 4180), Appier continues to lead the charge in AI advancements. For more details, please visit www.appier.com. About the Role We are seeking a driven and technically proficient Senior Software Engineer, Machine Learning to become a part of our esteemed Enterprise Solution Engineering Team, AIXON. This specialized team utilizes advanced ML technologies to tackle real-world marketing challenges through the integration of omnichannel customer data on a large scale. In this position, you will serve as a crucial link between innovative research and production-level deployment. Your responsibilities will include designing, constructing, and enhancing scalable, high-performance ML infrastructure, which encompasses data pipelines, APIs, monitoring systems, and workflow orchestration, thereby powering groundbreaking AI solutions.

About Appier Appier is a cutting-edge software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the ambition of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., we are proud to be listed on the Tokyo Stock Exchange (Ticker number: 4180). For more details, please visit www.appier.com. Role Overview We are seeking an experienced Senior Machine Learning Scientist specializing in LLM to join our dynamic Enterprise Solution Science Team. This team is dedicated to employing advanced ML technologies to address real-world marketing challenges by integrating them with comprehensive omnichannel customer data. In this pivotal role, you will oversee the complete development lifecycle, from defining problems to implementing models in production. Key Responsibilities Engage with various LLM-related projects such as agents, chatbots, copilots, and retrieval-augmented generation (RAG) systems. Collaborate with product teams to translate business objectives into clearly defined ML challenges during the planning phase. Partner with ML engineers to ensure seamless deployment of models into production, with a focus on reliability and maintainability. Conduct thorough offline and online evaluations, continuous monitoring, and optimization of models post-deployment. Stay informed about the latest research developments and proactively suggest innovative ML applications. (Optional) Mentor junior scientists and contribute to the development of the team's culture and standards. Qualifications (Minimum) Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related discipline. 3+ years of experience in machine learning or engineering roles. Proven track record in building and deploying enterprise-grade LLM applications (e.g., intelligent agents). Familiarity with LLM evaluation methodologies, including hallucination detection and confidence scoring, emphasizing quantitative metrics and systematic benchmarking. Hands-on experience with complex reasoning, modular workflows (e.g., multi-component prompting, agent orchestration), and RAG pipelines. Demonstrated experience in cross-functional collaboration and leading industry-specific projects. A strong sense of impact, coupled with excellent analytical and problem-solving skills.

About Appier Founded in 2012, Appier is a leading software-as-a-service (SaaS) company dedicated to leveraging artificial intelligence (AI) to enhance business decision-making processes. Our mission is to democratize AI, transforming it into tangible returns on investment for our clients through intelligent software solutions. With 17 offices spanning across the Asia-Pacific, Europe, and the United States, we are publicly traded on the Tokyo Stock Exchange (Ticker: 4180). Discover more about us at www.appier.com. About the Role As a Senior Software Engineer specializing in Data Backend, you will play a pivotal role in developing critical components that power our advanced solutions, which utilize proprietary deep learning and machine learning technologies. Your expertise will help businesses transform data into actionable insights and informed decisions. Key Responsibilities Architect, develop, and maintain robust RESTful APIs using Python. Design and manage comprehensive data warehouses utilizing ClickHouse, Trino/Presto, and Pinot. Build and optimize data pipelines using Apache Airflow and Apache Spark. Collaborate with cross-functional teams to create automation tools that enhance operational efficiency. Implement cutting-edge monitoring and alerting systems to ensure system performance and stability. Respond to application queries promptly and effectively, ensuring client satisfaction. Leverage cloud platforms like AWS and GCP for data operation optimization. Utilize Kubernetes (k8s) for efficient container orchestration and application deployment. About You [Minimum Qualifications] Bachelor's or Master's degree in Computer Science or a related field. 5+ years of experience in developing and managing large-scale distributed systems or applications. Proficient in Kubernetes development and experienced with Linux/Unix environments. Experience in managing data lakes or data warehouses. Strong understanding of data structures and algorithms on Big Data platforms. Ability to operate effectively and autonomously in a dynamic environment. Adept at multitasking and thriving in a fast-paced team setting. Passionate about leveraging technology to make a significant impact and a self-driven learner. [Preferred Qualifications] Experience working with ClickHouse and related data technologies.

About Appier Appier is a pioneering software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making. Established in 2012, our vision is to democratize AI and transform it into measurable return on investment (ROI) by creating intelligent software solutions. With 17 offices spanning APAC, Europe, and the U.S., Appier is listed on the Tokyo Stock Exchange (Ticker number: 4180). For further insights, visit www.appier.com. About the Role As a Machine Learning Scientist at Appier, you will play a crucial role in advancing our research initiatives, focusing on real-world applications of our products. Key Responsibilities Employ machine learning and analytical techniques to create predictive models for advertising and enterprise solutions. Analyze and extract actionable insights from extensive business data sets. Design, develop, and validate advanced models to predict consumer behavior. Collaborate with software engineering teams to implement real-time models and develop new features. Create efficient, scalable, and automated processes for large-scale data analysis, model development, validation, and implementation. Research and evaluate innovative machine learning and statistical models. About You Minimum Qualifications: Master's or Ph.D. in Computer Science, Machine Learning, Mathematics, or Statistics with knowledge of probabilistic models. Strong experience in system design and programming, capable of working with big data with minimal engineering support. 3+ years of experience in data mining, algorithms, statistical analysis, computational NLP, and/or machine learning. Proven track record of solving complex challenges in academia and industry. Extensive publication portfolio. Self-motivated with the ability to prioritize multiple competing tasks in a rapidly growing environment. Possess meta-cognitive skills and a commitment to continuous learning. Ability to think and communicate with clarity and precision. Preferred Qualifications: Exceptional presentation skills to convey product ideas to both technical and non-technical audiences. #LI-AK1

About Appier Appier is a leading software-as-a-service (SaaS) provider that harnesses the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012 with a mission to democratize AI, Appier aims to transform AI into measurable ROI by developing intelligent software solutions. With 17 offices across Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For more details, visit www.appier.com. About the Role As a Senior Backend Software Engineer on the Ad Cloud Platform Team, you will play a pivotal role in designing and constructing scalable and high-performing backend architectures. You will take ownership of the technical roadmap for significant projects, mentor junior engineers, and lead high-performance agile teams in collaboration with cross-functional stakeholders.

About Appier Appier is a pioneering software-as-a-service (SaaS) company that harnesses the power of artificial intelligence (AI) to enhance business decision-making processes. Established in 2012 with the mission to democratize AI, Appier is dedicated to transforming AI into tangible ROI by creating intelligent software solutions. With 17 offices across the APAC region, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For more details, visit www.appier.com. About the Ad Cloud Bidding TeamThe Ad Cloud Bidding Team leads the charge in delivering AI-driven advertising solutions. Our focus is on developing high-throughput, low-latency systems that optimize Return On Ad Spend (ROAS) and maximize client campaign ROI globally. We adeptly manage budget allocations across premium, high-intent inventories, processing billions of requests each day with millisecond accuracy. As a Senior Software Engineer, you will leverage advanced C++ technologies to construct a robust and scalable infrastructure that underpins our AI decision-making engines in a dynamic, data-centric setting where performance is critical. About the RoleAs a Senior Backend Engineer with a dedicated focus on service operations, you will play a key role in maintaining and optimizing our large-scale distributed systems. Your expertise will ensure our backend services operate reliably and efficiently through automation, monitoring, and effective incident management. Responsibilities Oversee system deployment, configuration, and release pipelines. Design and manage automated deployment pipelines to facilitate seamless and dependable releases. Implement monitoring, alerting, and disaster recovery strategies. Diagnose production incidents and execute root cause analysis. Participate in on-call rotations and lead incident response efforts when necessary. Continuously assess and integrate new tools or technologies to enhance operational workflows.

About Appier Appier is a leading software-as-a-service (SaaS) company that harnesses the power of artificial intelligence (AI) to transform business decision-making. Established in 2012, our vision is to democratize AI, and our mission is to convert AI capabilities into tangible ROI by enhancing software intelligence. With 17 offices strategically located across the APAC region, Europe, and the United States, we are proudly listed on the Tokyo Stock Exchange (Ticker: 4180). For further details, visit www.appier.com. About the Role We are seeking a seasoned Data Engineer to spearhead the development and scalability of our data infrastructure. You will engage with mission-critical systems that drive our data-centric decision-making processes, designing resilient pipelines and optimizing distributed platforms for handling extensive datasets.

About Appier Appier is a leading software-as-a-service (SaaS) firm harnessing the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012, our goal is to democratize AI, turning it into tangible returns on investment (ROI) by infusing intelligence into our software solutions. With a presence in 17 offices across Asia-Pacific, Europe, and the United States, we are listed on the Tokyo Stock Exchange (Ticker number: 4180). Explore more at www.appier.com. About the Role As a Senior Frontend Development Engineer at Appier, you will play a pivotal role in crafting advanced web user interfaces and advertising content. Utilizing cutting-edge front-end development technologies and tools, you will collaborate closely with designers and backend engineers to develop high-quality, seamless, and sophisticated web applications specifically tailored for the advertising sector, while also supporting the daily operational needs within Appier. [Seniority/title is based on job-relevant skills, experience, and interview evaluation.] Responsibilities Design and create reusable advertising UI components (e.g., banners, video ads) and associated systems utilizing modern JavaScript frameworks and AI-enhanced tools. Develop and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking. Optimize ad content performance through effective loading strategies and responsive design practices. Forge integrations with external SSP platforms, ensuring compliance with industry technical standards. Implement and manage analytics tools to track user interactions and ad effectiveness, providing actionable insights. Engage in brainstorming sessions, offering innovative technical solutions across UI/UX, algorithms, and product development. Leverage AI-driven development tools (e.g., GitHub Copilot, Tabnine, Cursor) to boost coding efficiency and uphold code quality. About You [Minimum Qualifications] Strong expertise in HTML, CSS, JavaScript, TypeScript, DOM, HTTP, and web standards. Proficient in modern front-end frameworks such as React, Vue, or Svelte. Experience with integrating REST APIs and GraphQL. Familiarity with bundlers like Vite, Webpack, esbuild, and Rollup. Knowledge of Git for version control. Proven experience in ensuring cross-browser compatibility. Commitment to coding conventions, syntax standards, and comprehensive documentation.

About the Role We are looking for an enthusiastic Data Analyst Intern to join our innovative product R&D team in Taiwan. In this role, you will engage in data analysis to assist Appier teams in addressing critical business and operational inquiries. We value candidates who can dedicate 2-3 days a week and are prepared for a minimum internship duration of 6 months, starting immediately. Please confirm your availability before applying. Responsibilities Analyze complex data sets to identify trends and patterns using statistical and visualization tools. Prepare data analysis reports showcasing insights and results. Collaborate with scientists and engineers to monitor and troubleshoot systems effectively. Develop tools and systems that enhance the efficiency of analysis processes and the quality of reports. About You [Minimum Qualifications] Currently enrolled senior students or graduate students in a relevant field. Strong analytical skills to derive valuable insights from data. Ability to communicate data analysis findings to diverse audiences. Proficient in both written and spoken English. Knowledge of statistics and experience with SQL for data extraction and aggregation, as well as proficiency in Spreadsheet/Excel. Familiarity with machine learning concepts and basic experience using machine learning tools. Proficient in Python programming for simple automation tasks. [Preferred Qualifications] Experience in the digital advertising industry. Hands-on experience with analytical/visualization tools such as SQL, R, and Tableau. Advanced Python programming skills for complex analyses. Experience in writing Spark programs for data analysis.

About Appier Appier is an innovative software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making. Established in 2012 with a mission to democratize AI, Appier is dedicated to transforming AI into tangible returns on investment by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, and listed on the Tokyo Stock Exchange (Ticker number: 4180), Appier is a leader in its field. For more insights, visit www.appier.com. About the Role As a Senior DevOps Engineer, you will join our dynamic product teams focused on developing large-scale distributed systems aimed at delivering high-quality services. You will be instrumental in designing and implementing tools for product development, managing service operations, and ensuring deployments meet high scalability standards. The position's seniority and title will be based on job-related skills, experience, and interview evaluations. We encourage international candidates to apply, and this role is ideally situated in Taiwan.

Join Appier as a Machine Learning Engineer Intern and gain hands-on experience in the exciting field of artificial intelligence. You will work alongside our talented engineering team to develop innovative machine learning models and algorithms that drive our products forward. This internship is an excellent opportunity to apply your academic knowledge in a real-world setting while learning from industry experts.

About Appier Appier is a leading software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to transform business decision-making. Established in 2012, our vision is to democratize AI, enabling businesses to convert AI into tangible returns on investment (ROI) through intelligent software solutions. With 17 offices across the APAC region, Europe, and the U.S., we are publicly traded on the Tokyo Stock Exchange (Ticker: 4180). For more details, visit www.appier.com. About the Role As a Software Engineer specializing in Data Backend, you will play a pivotal role in developing critical components of our AI-driven platform. Our solutions utilize proprietary deep learning and machine learning technologies, empowering businesses to transform data into actionable insights and informed decisions. Key Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto, and Pinot. Design and develop data pipelines employing Apache Airflow and Apache Spark. Collaborate with cross-functional teams to create automation tools that enhance operational efficiency. Implement advanced monitoring and alerting systems to ensure optimal performance and system stability. Address application queries promptly to ensure high client satisfaction. Utilize cloud platforms such as AWS and GCP to optimize data operations. Leverage Kubernetes (k8s) for efficient deployment and scaling of applications through container orchestration. About You [Minimum Qualifications] Bachelor's or Master's degree in Computer Science. 2+ years of experience in building and operating large-scale distributed systems or applications. Proficient in Kubernetes development and Linux/Unix environments. Experienced in managing data lakes or data warehouses. Strong expertise in developing data structures and algorithms on Big Data platforms. Ability to operate effectively and independently in a dynamic environment. Capability to manage multiple tasks and projects in a fast-paced team setting. Motivated self-learner eager to make a significant impact in the tech landscape. [Preferred Qualifications] Experience with cloud-native technologies. Familiarity with advanced database systems and architectures.

About Appier Appier is an innovative software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to facilitate informed business decision-making. Founded in 2012, Appier aims to democratize AI, transforming it into tangible returns on investment (ROI) by enhancing software intelligence. With 17 offices across the Asia-Pacific, Europe, and the United States, and its listing on the Tokyo Stock Exchange (Ticker number: 4180), Appier is at the forefront of AI advancements. For more details, visit www.appier.com. The Impact You’ll Make at Appier We are in search of a Senior Machine Learning Scientist to join our dynamic Advertising Cloud Optimization team, responsible for developing core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates on a vast scale, processing millions of queries per second (QPS) powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this position, you will assess ads incrementality across various traffic types, creatives, and user segments, while optimizing campaign efficiency through advanced machine learning models and AI automation. What You’ll Work On Utilize scientific methodologies to enhance ads measurement. Lead online experiments to continuously boost ad effectiveness. Independently manage project initiatives. Collaborate with product stakeholders, backend, and frontend teams to deliver measurement solutions for our clients. What We’re Looking For Master’s or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or a related discipline. 3+ years of industry experience in causal inference, incrementality, marketing mix modeling, or other measurement solutions within digital advertising, with a solid understanding of methodologies and their underlying assumptions. Proficiency in Python and SQL, along with experience in modern ML frameworks (e.g., PyTorch, TensorFlow). Demonstrated ownership and strong collaboration capabilities.

About Appier Appier is a cutting-edge software-as-a-service (SaaS) organization that harnesses the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the goal of democratizing AI, Appier is dedicated to transforming AI into tangible returns on investment by developing intelligent software solutions. With 17 offices spread across Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Discover more about us at www.appier.com. About the Role The Campaign Analyst will serve as a Strategic Pilot of AI, focusing on converting AI insights into actionable ROI. Responsibilities Oversee and implement advertising campaigns utilizing Appier's proprietary AI platform and products. Design and manage multinational advertising initiatives, creating tailored advertising strategies. Evaluate data and campaign outcomes, set up automated optimization processes, conduct experiments, and ensure the precise and rapid achievement of client KPIs. Collaborate with sales managers, account managers, product managers, and data analysts on various optimization-related projects. Refine and enhance the effectiveness of AI models, boosting overall system performance. Provide historical data and performance forecasts for the business development team, assisting in onboarding new clients. Who You Are: AI & Tech Enthusiast: A tech-savvy individual who eagerly adopts new AI tools to enhance productivity and efficiency. Detail-Oriented: Committed to flawless campaign execution, with a keen eye for spotting anomalies, data discrepancies, and valuable insights. Hands-On & Proactive: A problem-solver with a strong “can-do” attitude, actively seeking solutions with a hands-on approach. Cool Under Pressure: Maintains composure in a fast-paced environment, delivering results efficiently during busy periods. Proactive Problem Solver: Capable of critical thinking and employing systematic problem-solving strategies to drive success. Data-Driven Mindset: Quickly adapts to new tools and methodologies, applying a quantitative approach to analysis.

Join Appier as a Senior Machine Learning Scientist specializing in Playable Ads, where your expertise in machine learning will drive innovative advertising solutions. You'll collaborate with cross-functional teams to develop and enhance algorithms that optimize user engagement and conversion rates. This is a fantastic opportunity to influence the future of digital marketing through advanced machine learning techniques.

About Appier Appier is a pioneering software-as-a-service (SaaS) company dedicated to harnessing the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of making AI accessible to all, our mission is to transform AI into measurable ROI by developing intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Discover more at www.appier.com. About the Role We are seeking a Senior Machine Learning Scientist to join our Enterprise Solution Science Team. This dynamic team focuses on leveraging state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data. In this position, you will take charge of the entire development process, from defining problems to successfully deploying models into production. What You’ll Work On Engage in projects related to user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization. Collaborate with product teams to convert product objectives and business requirements into clearly defined ML problems during the planning phase. Partner closely with ML engineers for deploying models to production, ensuring their reliability and maintainability. Perform offline and online evaluations, monitor, and continuously optimize models post-deployment. Stay abreast of the latest research and proactively suggest innovative applications. Mentor junior scientists and contribute to the evolution of team culture and standards.

Join Appier as a Machine Learning Scientist Intern and immerse yourself in the dynamic field of artificial intelligence. This internship offers you the chance to collaborate with a talented team, gain hands-on experience, and contribute to cutting-edge machine learning projects.

Join Appier as an Administrative Specialist on a one-year contract basis. In this role, you will support various administrative functions, ensuring smooth operations and efficient processes within the organization.

About Appier Appier is a pioneering software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to revolutionize business decision-making. Established in 2012 with a goal of democratizing AI, Appier's mission is to transform AI into tangible returns on investment by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). For more information, visit www.appier.com. About the Role As a Backend Development Intern at Appier, you will engage in a diverse array of software projects that drive innovation in solutions, enhance product development workflows, and contribute directly to Appier's product offerings. We are seeking dedicated individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week, for a minimum duration of 6 months starting from the current date. Prospective applicants are encouraged to evaluate their availability before applying. There is a potential opportunity for interns to transition to full-time positions after the internship concludes. [Please note that due to our hybrid work model, this position requires on-site work in our Taiwan office and cannot be fully remote.] Responsibilities Develop and maintain scalable, reliable, and efficient service-based software and its components. Enhance the scalability and observability of existing systems. Propose and prototype solutions to streamline software development and monitoring processes. Conduct profiling and performance tuning of critical software components. Improve system quality through test automation and related tooling. Contribute to brainstorming sessions, offering innovative ideas related to technology, algorithms, and product development.