Top Machine Learning Jobs in Kansas City, MO

The role involves developing and optimizing intelligent agents using large language models, collaborating with the team, and solving technical problems.

Lead the development of advanced recommendation systems and ML pipelines. Collaborate with cross-functional teams to enhance user engagement through optimization of machine learning models at scale.

The role involves building and maintaining ML pipelines, optimizing workflows, and contributing to product strategy with a focus on usability.

The Senior Full Stack Engineer will develop AI/ML features in ClickHouse Cloud, integrating databases with AI capabilities, ensuring robust API design, and building user-friendly interfaces.

As a Senior Data Engineer, you'll build a cloud-native Data Platform in Azure, design data pipelines, and collaborate with data scientists on AI/ML applications.

As a Senior Data Engineer, you'll build a data platform in Azure, design and implement data pipelines, develop cloud microservices, and mentor engineers while working with AI models.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

The Senior Product Manager will lead the strategy for an AI assistant, ensuring compliance and user satisfaction while coordinating with cross-functional teams throughout product development.

This role involves designing, developing, and scaling machine learning systems for payment flows and recommendations, leading technical initiatives, and optimizing complex financial decision systems.

Lead ML research and development, collaborating with engineers and clinicians to create enterprise-grade products and establish a research agenda while sharing insights through publications and presentations.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

The Applied Scientist Intern will develop and deploy AI models, build ETL pipelines, and collaborate to enhance AI quality in legal tech.

The Staff Software Engineer will design, build, and scale ML systems to enhance user engagement through recommender systems and collaboration with cross-functional teams.

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.

Lead research on humanistic AI for autonomous systems. Collaborate with teams, design experiments, and publish findings in top-tier publications.

The Staff Machine Learning Engineer will design, develop, and deploy scalable ML algorithms, lead experimentation, and collaborate across teams to enhance AI solutions.

Develop and implement machine learning models, analyze data, collaborate on solutions, and optimize systems for scalability while staying updated with AI advancements.

The Senior Machine Learning Engineer will develop ML infrastructure, deploy ML models, monitor performance, and mentor junior engineers. Collaboration with cross-functional teams is essential.

Lead the design and implementation of machine learning platforms at Yahoo, focusing on architecture, governance, and system performance while mentoring teams and influencing industry trends.

As a Senior ML Platform Engineer, you will develop AI-driven solutions, enhance model performance, and collaborate across teams to optimize data processes.

Drive cross-team engineering efforts to improve user experience on Homefeed by implementing large-scale machine learning systems and enhancing data processing efficiency.

Design and implement machine learning models to improve Risk and Fraud detection systems. Lead technical strategy and partner with operations to address rapidly evolving challenges.