Top Machine Learning Jobs in Tokyo

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.

Leads data- and AI-driven business transformation projects for clients, covering customer experience, new business development, process reform, AI solution development, and organizational change. Responsibilities include strategy development, project execution, stakeholder collaboration, data analysis, and value creation from planning through implementation. Manager-level candidates must manage teams, negotiate with executives, and possess substantial consulting and data-analysis experience.

Lead data- and AI-driven customer experience and business transformation projects. Responsibilities include developing strategies, proposing and implementing data and AI solutions, driving analytics initiatives, building generative AI services, collaborating with multidisciplinary teams, and delivering business value from strategy through execution. Manager-level roles also involve team leadership, organizational management, and executive stakeholder negotiation.

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.

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 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.

Leads customer-facing delivery of production-grade data and AI solutions using Databricks. Owns architecture, design, coding, deployment, data pipelines, machine learning integrations, and user-facing applications. Guides enterprise customers, manages technical project scope and outcomes, trains teams, resolves implementation issues, and develops reusable frameworks. Collaborates with engineering, product, support, project managers, and customer stakeholders to drive adoption and transformational business impact.

Analyze billions of user behavior, fund-flow, and market records using PySpark, Hive, Trino, and SQL. Build feature pipelines, investigate data anomalies, and develop and evaluate machine learning models for risk detection. Translate model performance into business metrics such as detection rate, false-positive rate, and latency while owning a project stream end to end.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

Provides presales subject-matter expertise for financial crime and compliance solutions. The role gathers client requirements, positions Actimize products, delivers presentations and demonstrations, leads proof-of-concept engagements, completes RFI/RFP responses, and communicates customer needs to sales and product teams. It also develops prospect relationships and participates in industry events, requiring fluent English and Japanese communication and 40%+ travel to customer sites.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

Develop and evaluate custom LSI components for PlayStation products, with an initial focus on GPU specifications, functional development, and performance evaluation. Responsibilities include defining LSI specifications, collaborating with vendors on design, validating prototypes, supporting mass production, and developing C/C++ evaluation tools. The role requires deep understanding of computer architecture and low-level hardware, including processors, registers, cache, memory, and buses.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Manage and grow relationships with academic and government customers using legal information and technology solutions. Drive onboarding, training, adoption, renewals, retention, upselling, cross-selling, and customer satisfaction. Analyze usage trends, negotiate renewals, execute retention initiatives, run user events and webinars, respond to inquiries, and track account activity in Salesforce while collaborating with Sales, Marketing, Customer Success, and Proposition teams.

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.

Develops enterprise solutions for human resources and media clients in partnership with Account Executives. Responsibilities include understanding business challenges, planning system implementations, creating and delivering customized AI and Agent demos, preparing solution designs and proposals, developing industry-specific sales plays and demos, and supporting seminars and events through presentations and demonstrations.

Own an AI investing product vertical end to end, including strategy, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Incorporate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI with evaluation, safeguards, and human oversight while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Build and operate production-grade AI data pipelines and financial knowledge services for equities content. Responsibilities include processing text, tables, documents, and multimedia; creating knowledge bases and search indexes; engineering RAG retrieval and citation systems; integrating LLMs and NLP models; managing orchestration, APIs, quality, cost, observability, reliability, and scalable production operations.