Top Machine Learning Jobs in Yokohama

Design and develop algorithms for automotive systems using mathematical modeling and machine learning. Collaborate on algorithm lifecycle and ensure compliance with standards.

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.

Lead the AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

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

The Technical Program Manager will communicate, optimize, plan, execute, and problem-solve for enterprise-grade AI software projects, focusing on customer success and cross-functional collaboration.

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

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.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

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

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.

Design, develop, and validate AI/ML products in life sciences, while advising leadership on technical feasibility and collaborating with teams to build impactful tools.

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.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.