Top Machine Learning Jobs in Denver & Boulder, CO

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

As a Staff Machine Learning Engineer, you'll define technical strategies, design ML models, implement real-time ML pipelines, and deploy systems at scale to enhance Coinbase's operations and user protection.

Manage and lead a team of Analysts, focusing on marketing measurement, optimizations, and utilizing machine learning to enhance campaign performance for clients.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

The role involves designing and building ML applications, leading teams, and collaborating on data-intensive solutions using various technologies, while ensuring optimal performance and governance of ML systems.

The Senior Manager in ML Engineering will lead design and implementation of ML applications, optimize systems, and collaborate with cross-functional teams for data solutions.

The Machine Learning Engineer will develop and deploy AI/ML models to enhance risk management systems at Coinbase, preventing fraud and improving user safety.

As a Senior Machine Learning Engineer in Risk AI/ML, you will lead model strategy and design sophisticated systems to prevent fraud while mentoring junior engineers.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead the Content Engineering team, defining technical strategies and architecture while driving large-scale ML projects and ensuring Trust capabilities on the Pinterest platform.

Develop electrical system ontology for data centers, utilize monitoring tools, create anomaly detection models, and collaborate with teams on insights and strategies for optimization.

Lead development and deployment of advanced ML models for heart disease diagnostics, providing technical leadership and guiding projects through regulatory approval and clinical integration.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Lead the technical vision for ML systems focused on personalization, architecting solutions, solving complex challenges, and mentoring senior engineers.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

As a Staff Developer, you'll lead the AI team at 1Password, setting technical direction, developing ML tools, and collaborating with various teams.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.