Top Machine Learning Jobs in Yokohama

The Research Engineer develops AI and ML models and prototypes to solve supply chain issues, collaborate with product managers, and document specifications.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Manage relations with ISVs and Service Providers, promote NVIDIA tools, drive product adoption, and collaborate with partner managers to develop GPU solutions.

The CSM will engage with enterprise clients to optimize fraud detection and AML compliance, drive ROI, and support operational efficiency.

The Fraud Risk Manager will design and oversee UR's fraud prevention program, manage fraud monitoring, investigations, and implement a governance model. Responsibilities include optimizing recovery workflows, maintaining compliance documentation, and reporting insights to stakeholders.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

Lead a team of Data Scientists focused on credit decisioning, collaborate with leadership teams, and implement operational frameworks to scale.

The AI Application Developer will integrate AI models into web applications, manage full-stack development, and ensure performance optimization while collaborating with ML engineers.

Lead and develop a self-sufficient autonomous vehicle team in Japan, focusing on localizing and advancing AV technology tailored to Japanese road conditions and driving behaviors.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

The Machine Learning Engineer will develop ML models for autonomous vehicles in Japan, collaborating on integration, evaluation, and adapting technology to local challenges.

You will develop and optimize machine learning models for EdgeCortix's hardware, collaborating with engineers to meet AI performance goals.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

As a Machine Learning Engineer, you will architect and deploy AI models, collaborate with product teams, and optimize AI capabilities for production.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.