Top Machine Learning Jobs in Japan

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.

Lead integration of Maven Smart System with DoD AI ecosystems, architect and deploy production-grade AI/ML solutions, build scalable data pipelines and automated workflows, provide technical leadership to cross-functional teams, and ensure connectivity with Foundry AIP/Gaia and other DoD platforms.

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.

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.