Top Machine Learning Jobs in Japan

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.

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.

Drive global CVD manufacturing and equipment strategies across high-volume semiconductor facilities. Lead continuous improvement, equipment productivity, capacity optimization, technology transfers, process qualification, manufacturing ramps, root-cause investigations, and supplier partnerships. Develop equipment roadmaps, standardize best practices, improve throughput, reliability, utilization, OEE, cycle time, and cost of ownership, and deploy AI, machine learning, analytics, and digital manufacturing solutions. Mentor engineers and support executive decision-making.

Lead strategic initiatives for yield improvement in DRAM/NAND/HBM technologies, optimizing methods and collaborating with cross-functional teams to enhance processes and tools.

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.

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.

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.

Leads end-to-end data science and AI projects for MedTech, partnering with business, technology, and data engineering teams. Develops and deploys predictive and machine learning models, experimentation frameworks, and advanced analytics to improve commercial performance, marketing, customer experience, and business processes. Evaluates data quality, operationalizes models, monitors post-deployment performance, and translates complex insights into strategic business decisions.

Leads finance transformation by owning core financial processes, modernizing ERP and planning systems, deploying AI and automation, partnering with engineering and data teams, redesigning workflows, establishing controls, and driving organizational adoption. The role requires senior finance leadership, strong systems expertise, hands-on AI transformation experience, process governance, and the ability to translate between finance and technology.

Own university and early-career recruiting in Tokyo, including school strategy, campus partnerships, sourcing, screening, interviews, offers, and closing for interns, co-ops, and new graduates. Partner with engineering managers to define candidate profiles, maintain hiring standards, track recruiting funnel data, and improve candidate experience and conversion outcomes. Build a scalable campus and direct new-grad recruiting program supporting hardware and software teams.

Drive manufacturing revenue and pipeline growth across Japan by selling NVIDIA hardware and software. Build customer, OEM, channel, and ecosystem partner relationships; develop go-to-market strategies and business models; manage opportunities, forecasting, and reporting; and coordinate global resources. Engage manufacturers and partners to accelerate workloads and create autonomous agent-based manufacturing solutions using NVIDIA AI platforms, digital twins, and related technologies.

Support product development for homepage, user center, AI-generated interfaces, market pages, onboarding, personalization, and recommendation experiences. Coordinate with engineering, design, data, and business teams; organize requirements; track metrics; support experiments; analyze feedback; and help resolve issues. The role is part of a 3–6 month early-career accelerator program focused on blockchain products and AI-driven user experiences.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

Provides advanced statistical expertise to technical operations, manufacturing, quality, and regulatory teams in a GxP environment. Applies statistical modeling, multivariate analysis, machine learning, process monitoring, comparability assessments, and analytics to support product quality, investigations, validation, lifecycle management, technology transfers, and continuous improvement. Also supports regulatory submissions, audits, training, and cross-functional decision-making through evidence-based recommendations.

Conduct novel research on efficient and scalable deep generative model training and sampling, safe generative AI, memorization mitigation, concept erasing, data attribution, and multimodal representation learning. Implement innovative algorithms, collaborate with internal researchers, analyze large-scale deep learning results, and publish findings as academic papers.

Own full sales cycle in Japan: build pipeline, engage decision makers at app companies, brands and agencies, close new business, and launch customers while collaborating with Growth, Marketing, and Product to exceed quarterly revenue targets.

Lead and grow a Japan-based AV engineering team to localise and deliver autonomy features for Japanese roads. Drive end-to-end development, align with HQ and OEMs, hire and mentor engineers across robotics, ML, controls and systems integration, and represent Wayve in technical and product discussions.

As a Senior Growth Manager, you will lead strategic account ownership, revenue strategy, and client leadership, ensuring successful outcomes for a portfolio of key advertiser accounts in Japan, driving growth through complex commercial strategies and advanced data storytelling.

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.

Design and implement high-performance control modules for off-road autonomous vehicles. Characterize vehicle dynamics, close sim-to-real gaps, and build optimal-control solutions (e.g., nonlinear MPC, MPPI). Test controllers on production vehicles and collaborate with customer engineers to deploy robust autonomy under real-world constraints.

Hunt and close net-new enterprise AI deals ($500k+ ACV). Build pipeline in target strategic accounts, lead consultative value-based discussions with executives, position IFS AI solutions, and collaborate with regional sales and solution teams to drive recurring revenue.

Serve as strategic partner and primary contact for enterprise clients, driving ROI from the fraud/AML SaaS platform. Advise on detection performance, ML-based models, rule engines, and best practices; coordinate with Product and Engineering; deliver business reviews, client education, and actionable feedback to reduce fraud and improve operations.

Drive and exceed territory sales quotas by generating and qualifying opportunities, acquiring and retaining customers, developing cross-sell opportunities, and managing the full sales cycle. Build relationships with C-level stakeholders, channel partners, and resellers while collaborating with sales engineering, marketing, product, and inside sales teams. Maintain Salesforce forecasting and reporting accuracy and develop strong knowledge of Sophos and competitor cybersecurity solutions.