Top Machine Learning Engineer Jobs in Denver & Boulder, CO

Seeking a Machine Learning Engineer to enhance data capabilities and develop AI agents using LLMs, focusing on code data and smart contracts.

Design and implement AI solutions using cloud services, focusing on Generative AI and AI agent workflows, while managing MLOps practices and collaboration with teams.

As an AI/ML Engineer, you will develop LLM-driven applications, enhance the GenAI platform, and contribute to AI strategy and production code deployment.

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.

Lead the AI Engineering team to develop and implement AI-powered ML solutions, collaborate with stakeholders on strategic roadmaps, mentor team members, and ensure high-quality, scalable ML services.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.

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

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

As a Principal Machine Learning Engineer, you will lead AI-driven projects, build scalable ML pipelines, and collaborate cross-functionally to enhance healthcare services.

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 design and implement machine learning architecture, develop models, and collaborate with teams to build data-driven features for a CRM product.

The Senior Machine Learning Engineer will enhance a platform for data scientists, lead ML service development, and collaborate cross-functionally to deliver AI solutions.

Develop and deploy AI models on edge devices, optimize ML models for real-time inference, and collaborate with firmware teams.

The Machine Learning Engineer will design, build, and operate data systems, optimizing data flows and integrating AI/ML models, mainly on AWS.

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.

The Machine Learning Engineer will develop, deploy, and monitor ML solutions, collaborate with teams, and drive strategy using analytics.

As a Machine Learning Engineer, you will design systems for safe data ingestion and optimize data usage to enhance models and products, collaborating closely with the Product team and customers.

As a Machine Learning Engineer, you will focus on user-behavioral modeling, collaborate with teams, and engage in data processing and model deployment.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Design and optimize AI infrastructure, ensuring reliability and efficiency. Lead projects, create ETL pipelines, and support ML workload operations.

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

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

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

Develop machine learning driven products and tools for Firefox, lead design and integration of AI models, and mentor junior engineers.