Top Machine Learning Jobs in Tokyo

Serve as primary customer contact for high-value accounts, grow relationships, train and support product use, troubleshoot technical/business issues, escalate as needed, drive account growth with sales, and apply data analytics and AI/ML to deliver insights, automation, and executive-ready outputs.

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.

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.

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.

Create and review realistic, locale-specific robotics and natural sciences tasks in Japanese; apply and adapt scoring rubrics; evaluate and score AI and human responses for accuracy, regulatory alignment, and professional quality; produce gold-standard solutions and expert feedback.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

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.

Design, own, and lead end-to-end data architecture and pipelines for large-scale multimodal fleet and simulation data. Build canonical datasets, SLAs, monitoring, and self-serve tools to support ML-based motion planning. Mentor engineers, set organization-wide data engineering standards, prototype architectural bets, and collaborate across teams to deliver reliable, discoverable data products.

Lead design, build, and deployment of ML and optimization engines to control BEV charging/discharging, forecast prices/demand/usage, integrate across systems, mentor engineers, and drive reliable production models that minimize household energy costs.

Lead bring-up, administration, and operations of a large GPU/AI training cluster. Serve as bridge between researchers and hardware, ensuring SLURM jobs, parallel filesystems, networking, and monitoring operate reliably. Work across provisioning, storage, VPN/access, and traditional Linux sysadmin tasks; assist with physical racking and on-site datacenter needs. Collaborate closely with a small research team in Tokyo or San Francisco.

Design, build, optimize, and support ML platform systems and tooling for perception, prediction, and planning. Build dataset generation, cloud training and evaluation pipelines, developer-facing frameworks, and deployment tooling to ship ML models into Toyotas AD/ADAS stack. Collaborate with ML teams, optimize processes and infrastructure, and work in a hybrid Tokyo office.

Build and maintain scalable ML platform tooling, pipelines, and infrastructure for perception, prediction, and planning. Enable dataset curation, distributed training, evaluation, deployment, and inference optimization for AD/ADAS systems at scale.

The Senior Machine Learning Scientist will develop algorithms for campaign efficiency, build identify graphs, and improve return on advertising spend using machine learning.

The Senior Machine Learning Scientist will develop AI-powered ad experiences, managing the ML lifecycle and collaborating with teams to optimize ad creatives using advanced techniques.

Design, develop, and deploy advanced deep learning models for behavior planning in autonomous vehicles. Build scalable ML training and deployment pipelines, optimize inference, integrate with vehicle platform (C++), and collaborate across Perception, Planning, Simulation, and Infrastructure teams while adhering to safety and cost constraints.

As a Power ML Engineer, you will adapt existing ML models for the Japanese power market, integrate commodity market signals, develop new features, and enhance performance monitoring tools.

The Staff/Senior Machine Learning Scientist will design and implement ML models to optimize advertising campaigns, analyze user data, and collaborate with teams for enhanced solutions.

As a Staff/Senior Machine Learning Platform Engineer, you will architect and scale ML infrastructure, manage data pipelines, and mentor junior engineers.

The Senior Machine Learning Scientist will optimize bidding strategies and audience targeting in the advertising cloud ecosystem, utilizing deep learning models to enhance performance.

The Senior Machine Learning Scientist will develop machine learning algorithms to improve advertising effectiveness, drive experiments, and collaborate with stakeholders.

Join Appier as a Senior Machine Learning Scientist to develop and enhance ML models for advertising efficiency and profitability by leveraging AI in campaigns.

Design, automate, and manage end-to-end ML pipelines and scalable infrastructure on Azure. Build CI/CD with GitHub Actions, containerize models with Docker and AKS, monitor model lifecycle and data drift, implement cost controls, and collaborate with data science, DevOps, and IT to deploy resilient, production-grade ML solutions.

Lead technical validation of security solutions, deliver product demos, partner with sales, address objections, stay updated on AI security trends, and travel throughout the sales territory.