Appier

<p><strong>About Appier </strong></p>
<p>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.</p>
<p> </p>
<p><strong>About the Role</strong><strong><br /></strong>We are looking for a <strong>Machine Learning Scientist (Modeling &amp; Evaluation)</strong> to join the Enterprise Solution Science Team and help enterprises turn AI into real ROI.<br />In this role, you will be responsible for end-to-end development, from problem definition to driving models and solutions into production.</p>
<p><strong>What You'll Work On</strong></p>
<ol>
<li>Design, develop, and deploy optimization solutions built on ML models and evaluation, to improve efficiency and quality.</li>
<li>Work with PMs and engineers to turn product goals and customer needs into clear problems and priorities, and integrate validated methods into the product.</li>
<li>Build reliable evaluation methods for LLM output to measure the quality and impact of solutions, and decide if the results apply to real-world conditions.</li>
<li>Form your own hypotheses, then design A/B tests that use real traffic to validate them.</li>
<li>Follow the latest research and industry solutions, evaluate them in our own context, and propose new approaches. Decide what to build in-house and what to adopt.</li>
<li>Monitor solutions after launch, and proactively communicate risks, trade-offs, and progress.</li>
<li>(Optional) Mentor junior scientists and interns, if the need arises.</li>
</ol>
<p><strong>What We're Looking For (Minimum Qualifications)</strong></p>
<ol>
<li>Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields</li>
<li>At least 2 years of experience in machine learning or engineering roles (5+ years preferred)</li>
<li>Hands-on experience with ML models (including classification, regression, ranking, and retrieval) and quality evaluation (including LLM-as-a-judge), a solid foundation in statistics, and the ability to explain how these techniques relate to business impact</li>
<li>Impact-driven mindset: able to judge task priority, collaborate across functions, and proactively drive work forward and surface risks</li>
<li>AI-native development: work daily with coding agents that read the codebase, run tests, and iterate on their own, while you set the scope and review the diffs. Can explain and correct what the agent produced</li>
</ol>
<p><strong>Preferred Qualifications</strong></p>
<ol>
<li>Experience leading projects</li>
<li>Ability to form hypotheses and validate them: design experiments and A/B tests, interpret results, and take ownership of conclusions</li>
<li>Background in embeddings and causal inference</li>
<li>Engineering experience with AI / LLM applications (for example, serving and integration)</li>
</ol>
<p> </p>
<p> </p>
<p>#LI-TC1</p>

(Senior) Machine Learning Scientist (Modeling & Evaluation)

<h3><strong>About the Role</strong></h3>
<p>We are looking for a <strong>Data Analytics Consultant</strong> in Taiwan to join our <strong>Enterprise Solution</strong> team.</p>
<p>In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.</p>
<p>To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.</p>
<p> </p>
<h3><strong>Responsibilities</strong></h3>
<ul>
<li><strong>Requirement Advocacy:</strong> Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.</li>
<li><strong>Cross-Functional Collaboration:</strong> Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions.</li>
<li><strong>Data Modeling &amp; Analysis:</strong> Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results.</li>
<li><strong>Visualization &amp; Reporting:</strong> Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks)</li>
<li><strong>A/B Testing:</strong> Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.</li>
<li><strong>Solution Modeling &amp; Frameworks: </strong>Design structured frameworks based on client use cases, break them down into actionable analytical tasks, and independently execute and deliver practical business solutions.</li>
<li><strong>Data Governance:</strong> Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.</li>
</ul>
<p> </p>
<h3><strong>About You</strong></h3>
<h4><strong>[ Minimum Qualifications ]</strong></h4>
<ul>
<li><strong>Education:</strong> Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.</li>
<li><strong>Experience:</strong> 2+ years of industry experience in data analytics or a related field.</li>
<li><strong>Technical Skills:</strong></li>
<ul>
<li>Proficient in SQL, Python </li>
<li>Practical experience in developing dashboards using Tableau, Looker, or similar tools.</li>
</ul>
<li><strong>Core Competencies:</strong></li>
<ul>
<li>Solid foundation in statistics and strong logical reasoning for problem-solving.</li>
<li>High attention to detail with a natural 'sanity-check' mindset; able to quickly catch data discrepancies or baseline metric errors before delivering insights.</li>
<li>Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.</li>
<li>Strong ability to go beyond "what happened" to answer "why it happened" and proactively propose "what to do next."</li>
<li>Excellent oral and written communication skills in English and Mandarin.</li>
<li>High level of self-discipline and adaptability within a fast-paced, high-growth environment.</li>
</ul>
</ul>
<h4><strong>[ Preferred Qualifications ]</strong></h4>
<ul>
<li>Experience in the Digital Marketing (MarTech) industry.</li>
<li>Familiarity with RDBMS, NOSQL DB queries</li>
<li>Foundational knowledge or hands-on experience in Machine Learning (ML).</li>
<li>Experience in Agent development or AI tool related workflows.</li>
<li>Experience in top business consulting firms</li>
<li>Prior experience working in an English-speaking professional environment with cross-border teams.</li>
</ul>
<p> </p>
<p>#LI-TC1</p>

Data Analytics Consultant (Enterprise Solution)

<h2>About Appier</h2>
<p>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 <a href="http://www.appier.com/" rel="noopener noreferrer ugc" target="_blank">www.appier.com</a> for more information.</p>
<h2>About the Role</h2>
<p>As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing <strong>Large Language Models (LLMs)</strong>, <strong>Vision-Language Models (VLMs)</strong>, and <strong>AI agents</strong> that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact.</p>
<h2>Responsibilities</h2>
<ul>
<li>Research and build <strong>agentic AI systems</strong>: reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs.</li>
<li>Advance <strong>post-training techniques</strong> (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability.</li>
<li>Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.</li>
<li>Design rigorous <strong>evaluations and benchmarks</strong> for models and agents in real-world scenarios.</li>
<li>Collaborate with cross-functional teams to ship research into production applications.</li>
<li>Track frontier research, propose new directions, and publish key findings at leading AI/ML venues.</li>
</ul>
<h2>About You</h2>
<h3>Minimum Qualifications</h3>
<ul>
<li>Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML.</li>
<li>Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems.</li>
<li>Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping. Fluency with AI-assisted coding workflows is a plus.</li>
<li>Proficient in Python and PyTorch; able to build, train, and optimize models effectively.</li>
<li>Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.</li>
<li>Clear communication skills and a team-first attitude in a fast-paced, collaborative environment.</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP).</li>
<li>Experience with large-scale distributed training or LLM post-training pipelines.</li>
<li>Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases).</li>
<li>Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications.</li>
</ul>
<p> </p>
<p><strong>Open to overseas candidates/Visa Support</strong><strong><br /></strong><strong><br /></strong>This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.</p>
<p> </p>
<p>#LI-EZ1</p>

Research Scientist (Generative & Agentic AI) - Tokyo,Japan.

<h2>About Appier</h2>
<p>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 <a href="http://www.appier.com" rel="noopener noreferrer ugc" target="_blank">www.appier.com</a> for more information.</p>
<h2>About the Role</h2>
<p>As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing <strong>Large Language Models (LLMs)</strong>, <strong>Vision-Language Models (VLMs)</strong>, and <strong>AI agents</strong> that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact.</p>
<h2>Responsibilities</h2>
<ul>
<li>Research and build <strong>agentic AI systems</strong>: reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs.</li>
<li>Advance <strong>post-training techniques</strong> (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability.</li>
<li>Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.</li>
<li>Design rigorous <strong>evaluations and benchmarks</strong> for models and agents in real-world scenarios.</li>
<li>Collaborate with cross-functional teams to ship research into production applications.</li>
<li>Track frontier research, propose new directions, and publish key findings at leading AI/ML venues.</li>
</ul>
<h2>About You</h2>
<h3>Minimum Qualifications</h3>
<ul>
<li>Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML.</li>
<li>Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems.</li>
<li>Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping. Fluency with AI-assisted coding workflows is a plus.</li>
<li>Proficient in Python and PyTorch; able to build, train, and optimize models effectively.</li>
<li>Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.</li>
<li>Clear communication skills and a team-first attitude in a fast-paced, collaborative environment.</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP).</li>
<li>Experience with large-scale distributed training or LLM post-training pipelines.</li>
<li>Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases).</li>
<li>Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications.</li>
</ul>
<p> </p>
<p>#LI-TC1</p>

Appier

Open jobs at Appier

(Senior) Machine Learning Scientist (Modeling & Evaluation)

Data Analytics Consultant (Enterprise Solution)

Research Scientist (Generative & Agentic AI) - Tokyo,Japan.

Research Scientist (Generative & Agentic AI)

Working for Appier?

Featured companies