Top Machine Learning Jobs in Japan

Lead architecture, design, verification, and timing closure for NAND memory datapath circuits, including wave-pipelined buses, FIFOs, sense amplifiers, repair logic, and clocking. Drive semi-custom SPICE/STA methodology, physical co-design, post-layout correlation, and AI-enabled design automation. Set technical direction, collaborate cross-functionally on specifications and silicon debug, champion AI adoption, and mentor engineers.

Guide customers through their Zero Trust adoption as the primary post-sales technical contact. Build stakeholder relationships, provide technical guidance and customized strategies, manage escalations, coordinate resolutions, analyze adoption data, mitigate account risks, and support customer success enablement through training and best-practice materials. The role requires bilingual Japanese and English communication, strong cloud, networking, and security expertise, and the ability to align customer challenges with Zscaler solutions.

The Value Engineer partners with enterprise executives, business units, IT, and Sales to identify transformation opportunities, build quantified business cases, conduct Proof of Value projects, and deliver measurable improvements. The role supports post-deployment change, expands transformation across accounts, develops customer Centers of Excellence, manages stakeholder expectations, and shares customer insights with product and global teams.

Drive diffusion process and equipment improvements in semiconductor manufacturing, focusing on safety, quality, throughput, productivity, capacity, cost, and yield. Investigate equipment and process excursions, lead productivity initiatives, collaborate with manufacturing and technical teams, manage supplier improvements, support technology transfers, and apply analytics, AI, machine learning, and automation to optimize operations and predict performance.

Leads statistical programming for clinical trials, integrated analyses, post-marketing studies, and Japan regulatory submissions. Coordinates study deliverables, budgets, schedules, CDISC-compliant submissions, and agency responses. Collaborates globally on programming standards, develops SAS macros and innovative R, Python, AI, and machine learning solutions, improves processes, and mentors junior colleagues.

Manage clinical trial and post-marketing study activities as the primary statistician, providing input on study design, statistical methods, results interpretation, regulatory submissions, integrated analyses, and agency responses. Collaborate with global stakeholders, manage budgets and schedules, improve statistical tools and methods using programming, AI, and machine learning, and mentor junior colleagues.

Drive enterprise sales in Japan for Zscaler’s cloud security platform. Build trusted relationships with executives and key stakeholders, develop long-term account strategies, create customer-focused account plans, understand business needs, propose Zscaler solutions, and collaborate with Customer Success, Enablement, Architecture, and global teams. The role requires full-cycle software or security sales experience, strategic enterprise selling, Japanese fluency, and practical understanding of AI and machine learning.

Own enterprise account growth in Japan by building executive relationships, developing long-term account strategies, creating customer-focused plans, and proposing Zscaler cloud security solutions. Collaborate with Customer Success, Enablement, Architecture, and global teams to deliver digital transformation outcomes and achieve strategic sales goals.

Designs customer-facing AI-enabled products from concept through delivery. Conducts qualitative and quantitative research, user testing, and experimentation; translates findings and AI capabilities into human-centered interactions, prototypes, visualizations, and production-quality designs. Collaborates with customers, engineers, data scientists, technical program managers, and designers in complex problem spaces while applying responsible AI principles and advocating for user needs.

Offers early-career opportunities as a business consultant, solution engineer, or digital consultant. Responsibilities include solving complex business challenges, shaping transformation strategies, building high-quality IT systems, and implementing solutions using cloud, AI, machine learning, IoT, big data, and other emerging technologies. Candidates are expected to learn continuously, collaborate effectively, understand customer industries and operations, and drive initiatives through execution.

Lead cutting-edge research in Physical AI and Robotics, especially robot learning and motion planning for manipulation. Define research directions, develop algorithms and prototypes, deploy and debug systems on real robotic hardware, and publish impactful work. Collaborate with Microsoft product and business teams, external partners, and research groups to translate research into real-world applications and societal impact.

Lead technical onboarding and deployment of the Cybereason cybersecurity platform. Configure solutions to customer requirements, support sensor-server connectivity, troubleshoot technical issues, manage milestones and schedules, coordinate escalations across Support, DevOps, and R&D, and provide product, security, and technical training while maintaining customer partnerships.

Lead customer-facing AI discovery workshops, identify and validate high-value private AI use cases, assess enterprise data and infrastructure readiness, build proofs of concept and technical assets, and translate qualified opportunities into engineering blueprints. Partner with enterprise architects, data scientists, executives, NVIDIA, and forward-deployed engineering teams to move AI initiatives from experimentation toward secure production deployment.

Provides technical security support for Salesforce customers by troubleshooting and analyzing issues, including logs and security incidents. Responsibilities include prioritizing and escalating cases, coordinating with global support and development teams, creating knowledge documentation, delivering training, and managing multiple urgent customer situations. The role requires strong internet technology, security troubleshooting, communication, and problem-solving skills.

Drive adoption and value realization of Neara’s digital-twin platform among Japanese utility customers. Responsibilities include customer engagement, platform enablement, training, ROI and business-case development, stakeholder management, solution expansion, and collaboration with Sales, Deployment, Product, and Engineering teams. The role requires translating customer strategic goals into technical solutions and measurable business outcomes, with regular customer and team travel in Japan and internationally.

Build and deploy engineering-grade digital models for Japanese utility clients by integrating GIS, LiDAR, and other data sources. Configure platform projects, create dashboards, resolve model inaccuracies, support technical delivery and pre-sales, and collaborate with product and engineering teams on platform improvements and Japanese localization. The role requires customer-facing communication in Japanese, global collaboration in English, mentoring, and occasional travel to customers and international offices.

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.

Leads enterprise technology architecture strategy across infrastructure, cloud, security, network, workplace, platform, operations, data, AI, and service management. Establishes architecture governance, standards, roadmaps, and target-state designs; directs modernization, cloud adoption, DevOps, automation, resilience, security, integration, and data architecture initiatives. Advises executives, oversees transformation programs and strategic vendors, and ensures technology investments align with business objectives, regulatory requirements, operational excellence, and risk management.

Lead enterprise data management and governance initiatives, transforming structured and unstructured data into AI-ready assets. Establish data definitions, quality standards, governance policies, operational mechanisms, and adoption practices across departments. Manage cross-functional transformation projects, budgets, stakeholder consensus, and project recovery while partnering with senior leadership. Develop roadmaps that connect data quality and utilization to frontline decisions and measurable business outcomes.

Leads enterprise AI and data strategy, transformation, implementation, adoption, and standardization initiatives. Connects executives, business leaders, frontline managers, and engineers; builds consensus, develops actionable roadmaps, manages budgets, and drives measurable business outcomes across multiple business services. The role requires consulting or AI transformation experience, stakeholder leadership, and the ability to translate complex concepts into practical execution.

Leads the enterprise AI governance program, establishing policies, controls, operating models, and lifecycle oversight for AI, machine learning, automation, analytics, and AIOps. The role manages responsible AI, model risk, compliance, security, privacy, data governance, vendor oversight, performance monitoring, audits, and executive reporting. It chairs governance forums, advises senior leaders, and drives organization-wide adoption of accountable, transparent, secure, and compliant AI practices.

Lead go-to-market strategy and quota-carrying enterprise sales for Fortinet’s AI security solutions in Japan. Build pipeline with sales teams and channel partners, conduct executive presentations, workshops, demonstrations, and strategic account selling, and close complex six- and seven-figure deals. Advise customers on AI governance, guardrails, runtime protection, red-teaming, shadow AI, and secure deployments. Train account managers and partners while engaging C-level security, technology, and AI decision-makers.

Own commercial growth across Japan and South Korea by developing territory strategy, pipeline, partnerships, forecasts, and enterprise accounts. Lead complex full-cycle SaaS sales, build relationships with senior decision-makers, expand existing clients, and manage local partners. Represent the company in the Japanese market, support marketing initiatives, and provide market insight to internal teams. The role requires 8+ years of B2B enterprise sales experience, strong Japanese and English communication skills, and the ability to sell complex software in regulated industries.

Leads AI business consulting initiatives that connect business needs with AI solutions and measurable outcomes. Responsibilities include prioritizing AI portfolios, translating business requirements for technical teams, analyzing adoption and impact metrics, driving product adoption and change, and establishing operating models, governance, and scalable ways of working. The role requires strong consulting, transformation, analytics, stakeholder management, and practical Generative AI expertise, along with Japanese and English proficiency.

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.