Top Machine Learning Jobs in Tokyo

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.

Develop data strategies, scalable pipelines, automation, and evaluation processes for perception machine learning models used in AD/ADAS systems. Analyze large-scale data, improve camera-based computer vision performance, lead data initiatives, and collaborate across Toyota Group. The role requires data science, software engineering, cloud, database, and machine learning expertise, with hybrid work at the Nihonbashi office.

Advise enterprise customers on strategic transformation, digital strategies, process planning, operations, supply chain integration, BIM, Industry 4.0, and emerging technologies. Partner with senior leaders to define business outcomes, assess processes, develop solution recommendations, prepare proposals, estimate costs, support implementation planning, resolve issues, and identify additional business opportunities. Establish thought leadership in the relevant industry domain.

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.

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.

Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.

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.

Drive customer acquisition and expansion across Japan by owning complex enterprise sales cycles for Nebius’s AI and cloud platform. Responsibilities include territory planning, consultative solution selling, executive relationship management, negotiation and closing, partner collaboration, forecasting, and representing the company at industry events. The role is remote in the Greater Tokyo Area and requires regional travel.

Write technically accurate case studies, articles, product explainers, launch materials, and social content for AI engineers, researchers, and technical leaders. Interview customers, partners, and internal experts; learn HUD’s platform and workflows; explain technical products and research clearly; support founder communications; manage content from ideation through publication; and improve content using reader and go-to-market feedback.

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.

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.

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.

Own strategic enterprise sales in Japan for Zscaler’s cloud security solutions. Build trusted relationships with executives and key stakeholders, develop long-term account strategies and customer-focused plans, understand business challenges, and propose solutions that advance cloud transformation. Collaborate closely with Customer Success, Enablement, Architecture, and global teams to deliver customer value, acquire new business, and strengthen Zscaler’s position in cybersecurity.

Develops and maintains manufacturing test processes, systems, inspection equipment, fixtures, and production tools for ICP-MS products. Defines test strategies, supports new product introduction and production ramp-up, resolves technical issues with cross-functional teams, and drives test automation, yield improvement, data utilization, and process capability improvements. The role also supports manufacturing transfers, overseas technical deployment, process standardization, and hardware-software integration using programming, equipment control, and robot control.

Develops computer vision and AI algorithms for spatial intelligence, 3D scene understanding, human-computer interaction, and Physical AI. The role prototypes research ideas, builds scalable production systems across web, mobile, robots, smart glasses, and urban infrastructure, collaborates with researchers and engineers, and contributes to publications.

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.

Grow Databricks business among enterprise telecommunications customers in Japan by acquiring strategic accounts, expanding existing deployments, developing executive relationships, and driving complex software sales. The role involves account planning, identifying data and AI use cases, guiding negotiations, building customer champions, coordinating Databricks teams and partners, and increasing platform adoption.