Top Machine Learning Jobs in Japan

Lead strategic initiatives for yield improvement in DRAM/NAND/HBM technologies, optimizing methods and collaborating with cross-functional teams to enhance processes and tools.

The Global Supplier Manager will lead supplier management efforts, drive cost optimization, and collaborate across teams to enhance supplier performance, involving strategic sourcing and potential AI solutions.

As an Associate Applied AI Engineer, you will support the Japanese Value Engineering team by developing AI solutions, collaborating with customers, presenting to executives, and driving value realization.

The Director, Strategic Response and Recovery leads high-stakes customer support for Japanese clients, managing escalations, sentiment analysis, and cross-functional resolution efforts, while enhancing stakeholder relationships and operational goals.

The Senior Director will lead APAC consumer research strategy, focusing on innovation pipelines, AI-enabled research, and team development across diverse categories.

Manage client relationships and oversee project execution in AI-powered sustainable solutions. Develop project plans and drive communication among stakeholders.

As a Senior Growth Manager, you will lead strategic account ownership, revenue strategy, and client leadership, ensuring successful outcomes for a portfolio of key advertiser accounts in Japan, driving growth through complex commercial strategies and advanced data storytelling.

Lead and grow a Japan-based AV engineering team to localise and deliver autonomy features for Japanese roads. Drive end-to-end development, align with HQ and OEMs, hire and mentor engineers across robotics, ML, controls and systems integration, and represent Wayve in technical and product discussions.

The Developer Relations Manager collaborates with research labs to promote NVIDIA's AI technology, providing technical guidance and building partnerships while advancing high-impact research outcomes.

Lead client engagements to design and implement data- and AI-driven customer experience and business transformations. Drive end-to-end value from strategy through execution, collaborate with cross-functional experts, manage teams, and coordinate with client executives to deliver analytics, ML/genAI solutions, process and organization change.

Design and implement high-performance control modules for off-road autonomous vehicles. Characterize vehicle dynamics, close sim-to-real gaps, and build optimal-control solutions (e.g., nonlinear MPC, MPPI). Test controllers on production vehicles and collaborate with customer engineers to deploy robust autonomy under real-world constraints.

Define and manage safety architecture and requirements for autonomy hardware and software. Perform FMEA/FTA/STPA analyses, lead safety architecture development, work with V&V teams, contribute to safety cases, monitor safety performance, and train teams on safety practices.

顧客企業のデータ／AIを活用した顧客体験・ビジネス変革を支援。戦略立案からAIソリューション構築、実行・運用までをコンサルティングチームと協働して推進します。業界横断でデータ駆動型改革や生成AIを用いた新規事業・プロセス改革に携わります。

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Support digital transformation for manufacturing and distribution clients end-to-end: strategy, requirements, system design, development, testing, migration, project management, and operations. Use enterprise platforms (SAP/Oracle/IBM/Salesforce/Workday), modern infrastructure (IaC, API Management), collaboration tools, and AI/Blockchain technologies. Tokyo/Osaka hiring; Japanese resume required.

Lead strategy, roadmaps and end-to-end implementation for digital product and service development in manufacturing and software domains. Provide consulting from strategy through rollout, prototyping, solution architecture, development, infrastructure, and operations, including global rollouts and system adoption support.

Provide end-to-end consulting and implementation for digital product and service development in manufacturing and software domains: strategy and roadmap, system implementation, global rollouts, prototyping, solution architecture, and software development through to operations.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.

Hunt and close net-new enterprise AI deals ($500k+ ACV). Build pipeline in target strategic accounts, lead consultative value-based discussions with executives, position IFS AI solutions, and collaborate with regional sales and solution teams to drive recurring revenue.

As a Technical and Specialized Recruiter, you will source and recruit top technical talent for AI roles, focusing on building relationships and managing the full recruiting cycle.

The role involves advising clients on AI strategy, designing AI solutions, and leading change management efforts. This includes governance, training, and client engagement while mentoring junior team members.

Own and scale APAC programmatic advertising strategy to drive user acquisition, retention, and ROAS. Lead media buying across auctions, PMPs, preferred deals and PG; leverage AI/ML and automation; set best practices for targeting, frequency, remarketing, brand safety and DCO; research and scale emerging channels like CTV, audio, contextual and DOOH.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.