Top Machine Learning Jobs in Tokyo

The Global Supplier Manager will lead supplier management efforts, drive cost optimization, and collaborate across teams to enhance supplier performance, involving strategic sourcing and potential AI solutions.

The Director, Strategic Response and Recovery leads high-stakes customer support for Japanese clients, managing escalations, sentiment analysis, and cross-functional resolution efforts, while enhancing stakeholder relationships and operational goals.

Apply and validate ML and LLM systems to extract clinical information from unstructured medical notes, develop and productionize ML-derived datasets, collaborate with clinicians and engineers, perform dataset performance analyses, and provide analytic support to cross-functional stakeholders.

Drive adoption and growth of the FICO Platform through partner relationships and enterprise sales. Educate partners and clients on decision management, analytics, and AI capabilities, shape solution proposals with internal teams, manage quotas, and travel to support partner engagements.

Develop scalable LLM solutions for human-centered AI systems, curate datasets, make architectural decisions, and optimize ML pipelines. Collaborate within cross-functional teams.

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.

The Developer Relations Manager collaborates with research labs to promote NVIDIA's AI technology, providing technical guidance and building partnerships while advancing high-impact research outcomes.

Manage client relationships and oversee project execution in AI-powered sustainable solutions. Develop project plans and drive communication among stakeholders.

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.

The Senior Director will lead APAC consumer research strategy, focusing on innovation pipelines, AI-enabled research, and team development across diverse categories.

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.

As a Technical and Specialized Recruiter, you will source and recruit top technical talent for AI roles, focusing on building relationships and managing the full recruiting cycle.

Lead OWNDAYS global finance strategy from Tokyo HQ: drive AI-augmented FP&A, multi-entity budgeting, controllership (Japan GAAP/IFRS), capital and cash management, M&A and store expansion finance, and build a world-class finance team to support aggressive international growth.

Lead development and deployment of ML and epidemiological models using Japan-specific RWD to support commercial planning, HCP targeting, forecasting, and evaluation. Build scalable analytical pipelines, guide cross-functional delivery, communicate insights, and mentor junior analysts to strengthen CET data science capabilities.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

As a Technical Lead, you'll develop AI strategies, manage teams, create innovative legal solutions, and ensure project delivery in the Japan market.

Lead product strategy and requirements for AD/ADAS systems, define roadmaps and KPIs, coordinate cross-functional engineering, validation, and release teams, resolve system bottlenecks, ensure mass-production readiness, and communicate priorities to stakeholders and leadership.

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.

The Application Offering Solution Architect designs solutions to help clients achieve their business goals, leveraging application services and industry expertise, while leading complex projects and collaborating with clients and delivery teams.

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.

The Partner Solutions Architect will cultivate technical relationships, develop joint solutions with partners, support customer deals, and represent Anthropic at industry events.

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.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.