Top Machine Learning Jobs in Japan

Lead the technical strategy for public sector accounts in Japan. Design solutions, ensure compliance, and mentor others in leveraging data and AI.

Design and implement production-quality C++ vehicle control and estimation software using Model Predictive Control and control theory. Translate high-level requirements into implementable designs, negotiate implementation details, and validate performance from unit tests through integrated simulation and vehicle tests.

Own a payments/finance product vertical end-to-end: define strategy, roadmap, and metrics; shape technical design for money movement correctness, reliability, and compliance; apply and evaluate AI/LLM features; coordinate engineering, design, compliance, operations, treasury and finance; ship feature-complete work behind flags and clear external partner and regulatory gates.

Lead development of real-time 3D display rendering algorithms (especially CGH), implement and optimize GPU/ shader/CUDA code, integrate algorithms into game engines, apply machine learning, collaborate with academic and industry partners, and prototype display applications for PlayStation.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

As an ML Application Engineer, you'll run projects with customers in engineering, applying machine learning to optimize workflows and provide training.

Design, train, optimize, and deploy deep learning models for object detection, tracking, classification, and activity recognition in industrial environments. Lead dataset strategy, annotation, evaluation, architecture, and real-time inference pipelines. Drive the technical roadmap, establish engineering standards, make architectural decisions, and mentor engineers while delivering production computer vision and machine learning systems.

Develop and implement data science and machine learning models for credit risk; analyze complex datasets; ensure data quality and integrity; collaborate with stakeholders; optimize data processes and perform advanced statistical analysis and reporting.

Lead o9 planning transformation engagements: run blueprinting workshops, define business requirements and functional design, support data integration from ERPs/PLMs/databases, map user stories to sprints, manage build activities, deliver training, and collaborate with cross-functional teams to ensure successful implementation and value realization. Travel 30–50%.

As a Data Scientist, you will build data pipelines, design fraud detection algorithms, collaborate with clients, and contribute to product development.

Join Spellbrush as a 3D Game Programmer to develop narrative and puzzle games in Unity, focusing on innovative AI-driven experiences, particularly in anime aesthetics.

Create and review realistic, locale-specific robotics and natural sciences tasks in Japanese; apply and adapt scoring rubrics; evaluate and score AI and human responses for accuracy, regulatory alignment, and professional quality; produce gold-standard solutions and expert feedback.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Lead design, implementation, deployment, and maintenance of production ML systems for document understanding. Build scalable model-serving infrastructure, develop and fine-tune ML models (CV/NLP/OCR), collaborate with product owners, and mentor junior engineers.

The Staff/Senior Machine Learning Scientist will design and implement ML models to optimize advertising campaigns, analyze user data, and collaborate with teams for enhanced solutions.

As a Staff/Senior Machine Learning Platform Engineer, you will architect and scale ML infrastructure, manage data pipelines, and mentor junior engineers.

The Senior Machine Learning Scientist will optimize bidding strategies and audience targeting in the advertising cloud ecosystem, utilizing deep learning models to enhance performance.

The Senior Machine Learning Scientist will develop machine learning algorithms to improve advertising effectiveness, drive experiments, and collaborate with stakeholders.

You will develop and optimize machine learning models for EdgeCortix's hardware, collaborating with engineers to meet AI performance goals.

Design, own, and lead end-to-end data architecture and pipelines for large-scale multimodal fleet and simulation data. Build canonical datasets, SLAs, monitoring, and self-serve tools to support ML-based motion planning. Mentor engineers, set organization-wide data engineering standards, prototype architectural bets, and collaborate across teams to deliver reliable, discoverable data products.

Lead design, build, and deployment of ML and optimization engines to control BEV charging/discharging, forecast prices/demand/usage, integrate across systems, mentor engineers, and drive reliable production models that minimize household energy costs.

As a Power ML Engineer, you will adapt existing ML models for the Japanese power market, integrate commodity market signals, develop new features, and enhance performance monitoring tools.

Design, automate, and manage end-to-end ML pipelines and scalable infrastructure on Azure. Build CI/CD with GitHub Actions, containerize models with Docker and AKS, monitor model lifecycle and data drift, implement cost controls, and collaborate with data science, DevOps, and IT to deploy resilient, production-grade ML solutions.