Top Machine Learning Jobs in Japan

Lead planning, deployment, optimization, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Configure/tune models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, deliver AI workshops, and collaborate on customer-facing AI collateral. Travel up to 25% required.

Lead data analytics and ML/AI initiatives for DRAM production: data operations, automation, visualization, and decision support. Develop ML/Deep Learning/Code Assist solutions, collaborate cross-functionally, and drive large projects with sub-leadership in semiconductor manufacturing contexts.

Apply and validate ML and LLM systems to extract clinical information from unstructured medical notes, develop and productionize ML-derived datasets, collaborate with clinicians and engineers, perform dataset performance analyses, and provide analytic support to cross-functional stakeholders.

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.

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.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

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.

Lead design and management of search and content recommendation services and models. Build personalized recommender systems using ML/AI, define success metrics with product and business teams, drive core module development, and translate PB-scale data insights into measurable product impact.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Early-career Performance Engineer in the Binance Accelerator Program. Perform hands-on performance testing and tuning, design AI-powered test strategies using LLMs and ML, build AI-driven anomaly detection and bottleneck analysis tools, research new AI technologies, and improve reliability of large-scale distributed systems.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

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 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 Technical Lead, you'll develop AI strategies, manage teams, create innovative legal solutions, and ensure project delivery in the Japan market.

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.

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.

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 engineering projects, automation and digitization, new product qualification, and machine/process reliability. Manage budgets, timelines, root-cause troubleshooting, maintenance strategy, and integration of advanced manufacturing technologies. Mentor and develop engineering team, ensure safety and compliance, and coordinate with regional/global stakeholders to drive productivity and operational excellence.

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.

Design, implement, test, deploy, and maintain high-scale backend systems for SmartNews' content pipeline. Collaborate with product, business, and ML teams to deliver scalable solutions, improve moderation and content processing, and support high-traffic content ingestion and delivery.

Lead strategy and execution for fraud risk management across the platform. Develop detection and prevention frameworks, optimize transaction screening, partner with Compliance, Data Science, Engineering and Product, oversee KPIs and vendor costs, lead a risk strategy team, and pilot AI/LLM-driven tools to enhance detection while enabling business growth and regulatory alignment.

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.