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3 results for Frontend in Tokyo, Tōkyō

Head of Development
  • Tokyo,
  • remote
  • Permanent
  • 20.0M - 30.0M JPY / Yearly
  • <p><strong>Company Profile</strong><br /><br />Construction AI company building an AI-native quantity-takeoff system, adopted by major general contractors and building materials manufacturers, is looking for a staff engineer to lead its full-stack AI platform.<br /><br /><strong>The Role</strong><br /><br /></p><ul><li>You will coordinate the AI, frontend and backend teams to deploy multi-model AI pipelines (vision-language, OCR, segmentation, object detection) into production.</li><li>You will deliver interactive web canvases (2D/2.5D) that let industry experts inspect and edit AI results in real time.</li><li>You will drive domain architecture for a multi-tenant enterprise data model (MDM, CPQ, quantity takeoff) and optimize model serving to achieve sub-second multi-model execution.</li><li>You will raise the engineering bar across the team (schema migration, evaluation harnesses) and translate client and PM needs into technical roadmaps.</li></ul><p><br /><strong>Your Skills</strong><br /><br /></p><ul><li>Fluent or native level Japanese</li><li>You have one or two of the strengths below:</li></ul><ol><li>Hands-on experience deploying AI models to production alongside AI research/engineering teams.</li><li>Track record of designing sophisticated software systems and aligning frontend and backend engineers.</li><li>Experience leading engineering teams and cross-functional units, including working with PMs and external clients.</li><li>Experience with CAD/BIM or spatial data, ERP/CPQ integrations, CUDA/C++, vLLM/llama.cpp, or distributed multi-time-zone teams is a plus.</li></ol><p><br /><strong>Key Highlights of the Role</strong><br /><br /></p><ul><li>Work on proprietary in-house AI models that outperform commercial frontier models, not "wrapper" products.</li><li>Join a small, elite team with real ownership and autonomy.</li><li>Be part of a fast-growing company expanding globally</li><li>Shape the future of construction through the world's first product of its kind, originating from Tokyo.</li></ul><p> </p><p><strong>Location </strong></p><p>Tokyo</p><p><strong> </strong></p><p><strong>Salary</strong></p><p>20 - 30 million yen</p><p><strong> </strong></p><p>Reference Number: 06940-0013517591</p><p> </p><p> </p><p><em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em></p><img src="https://counter.adcourier.com/TmFuY3kuWXVhbi4xMzQ1NS4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
  • 2026-10-01T06:06:31Z
Software Engineer
  • Tokyo,
  • remote
  • Contract
  • 16.9M - 16.9M JPY / Yearly
  • <p><strong>Company Profile</strong></p><p>A venture-backed AI technology company focused on developing verifiable and explainable AI solutions for scientific and engineering applications. The company combines advanced machine learning, formal reasoning, and domain expertise to accelerate innovation in complex technical fields, including engineering design, semiconductors, and scientific research.</p><p> </p><p><strong>The Role</strong></p><ul><li>Develop and maintain backend applications using Python/FastAPI and frontend applications using React/Next.js</li><li>Design APIs and databases, and optimize SQL performance</li><li>Contribute to system architecture and technical decision-making</li><li>Build scalable, secure, and reliable systems</li><li>Develop and enhance AI-powered features and agent workflows</li><li>Integrate and utilize LLM technologies and AI platforms</li><li>Perform unit, integration, and end-to-end testing</li><li>Participate in code reviews and quality improvement initiatives</li><li>Collaborate closely with Tech Leads and AI Engineers</li><li>Support cross-functional development teams and knowledge sharing</li></ul><p><strong> </strong></p><p><strong>Your Skills </strong></p><ul><li>Cloud platforms and infrastructure</li><li>AI/LLM integration (OpenAI, Anthropic, Vertex AI, etc.)</li><li>Testing (Unit, Integration, E2E)</li><li>System design and scalable architecture</li><li>CI/CD and software engineering best practices</li><li>Troubleshooting and production support</li></ul><p><strong> </strong></p><p><strong>Key Highlights of the Role </strong></p><ul><li>Work on next-generation AI products for science and engineering.</li><li>Build both full-stack applications and AI-powered features.</li><li>Influence system architecture and technical strategy.</li></ul><p><strong> </strong></p><p> </p><p><strong>Salary</strong></p><p>8,125 JPY 〜 hourly</p><p><strong> </strong></p><p>Reference Number: 06940-0013502812</p><p> </p><p> </p><p><em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em></p><img src="https://counter.adcourier.com/bWljaGFlbC5oYWdlZG9ybi45MjQ2Ni4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
  • 2026-10-02T03:30:41Z
Data Scientist - ML/AI
  • Tokyo,
  • remote
  • Permanent
  • 9.0M - 14.0M JPY / Yearly
  • <p><strong>Company Profile</strong></p><p>A major Japanese internet services conglomerate is hiring a Senior Data Scientist for its global ad technology division. The division runs the advertising systems behind the group's e-commerce and digital services, with a diverse team spread across Japan, Singapore, India, China, and the UK.</p><p> </p><p><strong>The Role</strong></p><ul><li>The in-house ad serving platform handles tens of thousands of QPS at under 100ms latency and processes tens of billions of log records each month. It is now strengthening the in-house development of its core algorithms to set itself apart in a competitive, AI-driven market.</li><li>You will drive ad delivery optimization end to end, from problem definition and KPI design through modeling, online deployment, evaluation, and continuous improvement.</li><li>Your focus will be on price optimization, CTR/CVR and value prediction, and creative optimization, including feature engineering and offline evaluation and simulation.</li><li>You will design A/B tests and bandit experiments, plan rollouts, and build MLOps pipelines with monitoring, drift detection, and automated rollback.</li><li>You will join a team of about 20 engineers (SRE, backend/frontend, data, SDK, QA) and work closely with product, engineering, and sales/operations stakeholders.</li></ul><p><strong> </strong></p><p><strong>Your Skills </strong></p><p>Mandatory</p><ul><li>5+ years of hands-on data analysis and machine learning experience with Python and SQL (Pandas, NumPy, scikit-learn)</li><li>Experience processing large-scale data (e.g., Spark, BigQuery) and building reproducible analytics environments</li><li>A strong foundation in statistics, causal inference, and experimental design, including A/B test design and analysis</li><li>Experience developing ML models (GBDT, logistic regression, simple neural networks) with rigorous offline/online evaluation and calibration</li><li>Knowledge of digital advertising (CTR/CVR prediction, bidding, budget pacing), or optimization experience in an adjacent domain</li><li>Production experience with model deployment, pipeline operations, monitoring, and drift detection</li><li>A degree in computer science, statistics, applied mathematics, or a related field, or equivalent practical experience</li><li>Fluent English, or TOEIC 800+ or equivalent</li></ul><p> </p><p>Desired</p><ul><li>Knowledge of ad auctions and mechanism design (first-/second-price auctions, bid shading, reserve price optimization)</li><li>Hands-on experience with price optimization methods such as Bayesian optimization, contextual bandits, or reinforcement learning</li><li>Experience with creative optimization, streaming platforms (Kafka/Flink/Beam), and real-time inference</li><li>MLOps practices (feature stores, CI/CD, Docker/Kubernetes) and GCP experience (BigQuery, Vertex AI, Dataflow)</li><li>Business-level Japanese (JLPT N2 or equivalent)</li></ul><p><strong> </strong></p><p><strong>Key Highlights of the Role </strong></p><ul><li>Build the core algorithms of a large-scale ad platform used across one of Japan's largest internet ecosystems.</li><li>Take ownership of the full ML lifecycle, from hypothesis to production, with real business impact.</li><li>Work hands-on with high-traffic, low-latency systems and big data on a modern GCP stack.</li><li>Collaborate in a multinational team across five countries and work alongside leading external ad platforms.</li></ul><p><strong> </strong></p><p><strong>Location </strong></p><p>Tokyo</p><p><strong> </strong></p><p><strong>Salary</strong></p><p>9 - 14 million yen</p><p><strong> </strong></p><p>Reference Number: 06940-0013531637</p><p> </p><p> </p><p><em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em></p><img src="https://counter.adcourier.com/U21haWwuU2FmaS41MTE5MS4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
  • 2026-10-26T02:19:29Z