Top Machine Learning Jobs in Japan

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.

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.

Analyze and optimize semiconductor manufacturing operations using production scheduling, simulation, automated material handling, MES, data analytics, AI, and BI tools. Develop dashboards, reporting platforms, and decision-support solutions; identify bottlenecks, improve throughput and cycle time, validate initiatives, and lead continuous improvement projects. Collaborate with global, cross-functional teams, report results to management, and mentor team members.

Provides technical leadership for advanced CMOS device architecture and process integration, defining technology roadmaps, performance and manufacturability targets, silicon learning strategies, test structures, modeling, and qualification plans. Leads complex cross-functional engineering initiatives across design, manufacturing, reliability, yield, and research organizations. Establishes AI-assisted engineering methods for analytics, automation, modeling, experiment optimization, and decision support while maintaining technical accountability. Mentors senior engineers and influences executive and external technology decisions.

Lead MES and production scheduling improvements at Fab15 through AI, advanced analytics, automation, and data-driven optimization. Analyze equipment logs, reduce Q-time violations and equipment standby, manage Fab Auto Stage Ratio, develop dashboards and automation using SQL, RPA, APIs, UiPath, and Power BI, and improve MES troubleshooting. Drive global best-practice deployment, cross-site collaboration, Power User training, IE education, and project execution while supporting predictive analytics, anomaly detection, simulation, and responsible AI adoption.

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

Own enterprise account strategy and full-cycle sales for Zscaler’s cloud security solutions in Japan. Build trusted relationships with executives and key stakeholders, understand business goals, develop account plans, present AI and security solutions, and collaborate with Customer Success, Enablement, and Architecture teams to drive digital transformation and sustained customer outcomes.

Owns development, customization, validation, and customer approval of automotive camera functions, including object, traffic sign, signal, lane, calibration, and defect detection. Leads requirements management, system analysis, cross-functional coordination, production process support, and field-return investigations. Requires expertise in camera geometry or machine-learning-based computer vision, statistical analysis, numerical algorithm development, digital imaging, and customer-facing technical coordination.

Owns development, customization, validation, and customer approval of automotive camera functions, including object, traffic sign, lane, calibration, and defect detection. Leads requirements management, system analysis, field-return investigations, production-process support, and cross-functional coordination. Requires expertise in camera geometry or machine-learning-based computer vision, numerical algorithm development, digital imaging, statistical analysis, and customer-facing technical communication.

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.

Develops and presents Salesforce solution proposals for enterprise staffing, HR, and media customers. Partners with Account Executives to identify business challenges, design AI- and Agent-enabled solutions, create customized demos, develop implementation roadmaps and sales materials, and support industry-specific sales plays. The role also contributes to seminars, events, and marketing activities through presentations and demonstrations.

Drives enterprise revenue growth through new customer acquisition, account expansion, upselling, cross-selling, and contract renewals. Manages the full sales cycle, presents AI platform solutions, maintains pipeline forecasts in Salesforce, and collaborates with marketing, pre-sales, post-sales, support, and product teams. Requires strong executive relationship-building, solution-selling, presentation, and negotiation skills, along with experience selling enterprise software or SaaS to large organizations.

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.

Develop and implement data science models and algorithms for fraud risk and payment-related business needs. Analyze complex datasets, conduct advanced statistical analysis, ensure data quality and integrity, optimize data processes, and collaborate with stakeholders and cross-functional teams to deliver effective data solutions.

Manage customer success for Salesforce customers by understanding business and technology goals, recommending best practices, identifying risks, and coordinating internal resources. Provide technical product guidance, translate updates and platform issues into customer value, support adoption and enablement, and act as a trusted advisor. The role requires strong Salesforce, cloud, integration, automation, and enterprise technology knowledge, along with fluent Japanese and basic English.

Drive enterprise sales growth for Salesforce Agentforce by identifying and qualifying opportunities, conducting technical discovery, and presenting tailored AI solutions. Build relationships with new and existing customers, collaborate across Salesforce teams, map business needs to Salesforce capabilities, develop compelling points of view, and demonstrate how Agentforce addresses strategic goals. Consistently achieve sales targets while communicating complex AI and cloud technologies to technical and business stakeholders.

Drive enterprise Agentforce sales in Osaka by identifying opportunities, qualifying prospects, conducting technical discovery, and presenting tailored AI solutions. Partner with Salesforce sales teams and cross-functional stakeholders to align customer needs with Salesforce products, architectures, and long-term business strategies. Create compelling use cases and points of view, explain complex AI concepts to technical and nontechnical audiences, build executive relationships, and consistently achieve sales targets.

Serve as a technical advisor to enterprise customers using Rescale’s cloud HPC platform. Lead post-sales adoption, technical presentations, business reviews, workflow analysis, and digital transformation roadmaps. Help customers migrate engineering and scientific workloads from on-premises infrastructure to the cloud, understand HPC environments and simulation software, and present solutions at conferences and webinars. Coordinate complex projects across customers and internal teams.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Leads end-to-end data science and advanced analytics initiatives, from problem definition and data analysis through machine learning development, testing, deployment, and delivery. Manages and coaches data scientists and vendors, reviews Python code, coordinates with platform and IT teams, and delivers cloud-based solutions on Azure. Communicates insights to business stakeholders and leaders while applying responsible AI and compliance practices.

Own Japanese partnership deals for Rokt Ads from sourcing through launch and growth. Build outbound and inbound advertiser pipelines, qualify opportunities, conduct discovery, negotiate, and independently close lower- and mid-complexity deals. Manage account stakeholders, forecasts, and book of business in HubSpot while partnering on enterprise opportunities. Develop localized sales materials, use AI tools for research and outreach, and refine sales tactics for the Japanese digital advertising market.

Manage and develop a data science team delivering production-ready analytics, machine learning models, AI tools, and what-if analyses for semiconductor manufacturing. Lead model validation, governance, monitoring, and stakeholder delivery across yield, quality, equipment efficiency, and labor productivity initiatives. Drive adoption of Generative AI, LLMs, AI agents, and emerging interoperability standards while mentoring staff, managing resources, and aligning team objectives with corporate strategy.