Top Senior Machine Learning Jobs in Denver & Boulder, CO

The Senior Machine Learning Engineer will build and operate ML systems, manage the model lifecycle, and mentor team members while ensuring sustainability data accuracy.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

Lead innovation in data-driven marketing strategies by developing AI-driven analytics solutions for consumer lending. Manage teams, implement machine learning models, and optimize marketing performance across various phases of the consumer credit lifecycle.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.

The Lead Data/ML Engineer will design and maintain scalable data pipelines and AI systems, ensuring data reliability and collaboration with product teams.

The role involves designing and deploying machine learning systems, leading R&D for models, collaborating across teams, and mentoring engineers. It focuses on continuous improvement and adherence to best practices in machine learning.

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

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

As a Machine Learning Engineer at Netflix, you will forecast traffic, optimize infrastructure, and manage ML models, supporting engineering teams for improved performance and reliability.

The Senior Machine Learning Engineer will design advanced AI/ML solutions, build product features, and collaborate in an Agile environment using cutting-edge technologies.