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.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

The Enterprise Support Specialist will provide technical support to enterprise customers, troubleshoot issues, and collaborate with internal teams to enhance service quality while advocating for customer needs.

Develop and implement data science and machine learning models for credit risk; analyze complex datasets; ensure data quality and integrity; collaborate with stakeholders; optimize data processes and perform advanced statistical analysis and reporting.

Lead o9 planning transformation engagements: run blueprinting workshops, define business requirements and functional design, support data integration from ERPs/PLMs/databases, map user stories to sprints, manage build activities, deliver training, and collaborate with cross-functional teams to ensure successful implementation and value realization. Travel 30–50%.

As a Data Scientist, you will build data pipelines, design fraud detection algorithms, collaborate with clients, and contribute to product development.

Drive customer value by partnering with stakeholders to define goals, evangelize Salesforce capabilities, provide technical enablement, mitigate risks, and deliver adoption plans. Translate product updates, integrations, and technical issues into business outcomes while orchestrating internal resources and guiding governance, change management, and industry-specific adoption.

Join Spellbrush as a 3D Game Programmer to develop narrative and puzzle games in Unity, focusing on innovative AI-driven experiences, particularly in anime aesthetics.

Lead design, implementation, deployment, and maintenance of production ML systems for document understanding. Build scalable model-serving infrastructure, develop and fine-tune ML models (CV/NLP/OCR), collaborate with product owners, and mentor junior engineers.

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.

As a Full-Stack Software Engineer, you will design solutions for B2B commerce partnerships, develop APIs, and work on fintech and e-commerce stacks for APAC markets.

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

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 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.

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.

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.

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.

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.

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.