Top Machine Learning Jobs in Tokyo

The Senior Developer Relations Manager will lead NVIDIA's Robotics strategy, driving the adoption of their Robotics platform. Responsibilities include architecting solutions, integrating software with partners, showcasing customer success stories, and managing strategic partnerships while also conducting technical demonstrations and evangelism.

As an Account Executive, you will leverage your extensive AI knowledge and sales expertise to drive revenue growth and build strong client relationships for Salesforce's Agentforce solutions. You'll conduct technical discoveries, articulate value propositions, and collaborate with cross-functional teams to deliver impactful customer solutions.

The Regional Vice President of Sales at Salesforce is responsible for leading the Agentforce sales team, exceeding revenue targets through AI-driven solutions, and fostering long-term client relationships. This role includes mentoring sales talent, implementing sales strategies, and collaborating across departments to ensure customer success.

The Solution Architect will guide the adoption of DGX Cloud and NVIDIA AI Enterprise Software by collaborating with customers to optimize onboarding, providing technical education, and integrating cloud solutions. Responsibilities include building knowledge communities, gathering product feedback, and ensuring successful deployments.

As a Data Scientist, you will collaborate with technical experts to deploy solutions for clients, design algorithms for fraud detection, enhance global solutions, and work closely with clients to understand their data needs. You will also focus on developing skills in data processing, machine learning, and client interaction.

As a Sales Engineer at Cybereason, you will foster relationships with customers, conduct presentations, perform proof of concepts, and provide technical assistance on cyber security solutions. Working closely with sales and engineering teams, you'll articulate solutions and manage customer engagements to meet their requirements while contributing to product feedback and sales strategies.

The Software Engineering Manager will lead a team developing multimodal assistive agents using AI technologies. Responsibilities include mentoring, defining technical strategy, contributing to development, and collaborating with global teams. The manager will also focus on enhancing user experiences across various domains such as education and health.

The Senior Technical Support Engineer at Plume is responsible for providing high-level technical support to retail and enterprise customers, resolving complex network issues, conducting training, and collaborating with product and engineering teams for improvements. They will document issues, develop support tools, and maintain customer satisfaction while managing support policies and processes.

The position involves analyzing market data to uncover hidden financial insights, developing statistical and machine learning models, and collaborating with the trading team to enhance automated trading processes.

As a Robotics Software Engineer at Woven by Toyota, you will design, implement, test, and deploy features on robots or in the cloud. You will collaborate with stakeholders, debug issues, and ensure code quality, while working with cutting-edge technologies in autonomy and automation.

The Software Engineer will lead the design and development of a matching algorithm for mobility services, working closely with partners and engineering teams to define specifications, write code, and improve processes. This role emphasizes collaboration and innovation in creating effective mobility solutions using machine learning.

As a Data Scientist, you will provide technical guidance and training to customers, consulting on data analytics projects. You'll analyze data using Umetrics® software, support implementation in industrial contexts, and collaborate with global colleagues. You will also create technical documents and present at conferences.

The AI Developer Technology Engineer will develop advanced techniques in deep learning and machine learning, optimizing performance for GPU architectures. Responsibilities include working with customers to solve AI-related problems and collaborating with various teams at NVIDIA for improved software and architecture design.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.

As a Software Engineer for Ads, you will contribute to the development of a machine learning system that evaluates millions of ad candidates in real-time. Responsibilities include designing scalable services, experimenting with modern machine learning techniques, creating predictive models, and ensuring ad integrity and brand safety.

As a Senior Software Engineer, you will be responsible for developing and deploying real-time ML solutions, collaborating with data scientists, and managing customer requirements. You will take ownership of engineering best practices, lead code reviews, and improve processes within an agile environment, all while communicating effectively in both English and Japanese.

The Chiplet Emulation Engineer will build emulation infrastructure for AI/ML engines, developing test-benches, executing test plans, and collaborating with various teams to enhance the emulation platform. A strong technical background and problem-solving approach are essential.