Top Machine Learning Jobs in Japan

Lead product strategy and requirements for AD/ADAS systems, define roadmaps and KPIs, coordinate cross-functional engineering, validation, and release teams, resolve system bottlenecks, ensure mass-production readiness, and communicate priorities to stakeholders and leadership.

Lead Medical Affairs insight analytics and innovation: deliver actionable insights, advance AI/automation (GenAI, conversational AI), build scalable compliant analytics, lead teams, align cross-functional stakeholders, and shape digital/omnichannel strategy to drive measurable business outcomes.

As a Solution Architect for Tableau, you will implement solutions, provide advisory services, manage client relationships, and train team members, significantly contributing to customer engagement and data utilization.

The Application Offering Solution Architect designs solutions to help clients achieve their business goals, leveraging application services and industry expertise, while leading complex projects and collaborating with clients and delivery teams.

The Partner Solutions Architect will cultivate technical relationships, develop joint solutions with partners, support customer deals, and represent Anthropic at industry events.

The Strategic Account Manager leads client relationships with regulated financial institutions, focusing on compliance solutions, retention strategies, and account growth while navigating multi-stakeholder environments.

Lead and execute internal audits (SOX, AML, key risk audits) across the region; plan audits, supervise teams, perform testing and root-cause analysis, prepare clear reports, present findings to management, and apply data analytics, automation and emerging technologies to improve audit effectiveness and efficiency.

Lead pre-sales discovery and solution design for AspenTech APM across Oil & Gas and Chemicals in Japan. Engage customers, build platform-based solutions (APM, data historian, APC, MES, Data Fabric), create proposals and scopes, support sales campaigns, and drive pipeline with technical and business value articulation. Frequent travel within Japan and regional/global engagements.

The Regional Sales Director will drive revenue growth, build partnerships, and represent technology to engineering companies in Japan, leveraging technical expertise and sales experience.

Lead recruitment and engagement of Japanese startups for NVIDIA Inception, develop ecosystem and VC relationships, evangelize NVIDIA technologies, coordinate cross-functional teams, route startups to business units, and support sell-with/sell-to activities to accelerate adoption of NVIDIA platforms.

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.

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

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.

The Enterprise Support Specialist will provide technical support to enterprise customers, troubleshoot issues, and collaborate with internal teams to enhance service quality while advocating for customer needs.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

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

The Customer Success Manager drives business value and maximizes ROI on Salesforce investments through proactive partnership, understanding client goals, and providing relevant insights while working collaboratively with stakeholders.

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.

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

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.

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.