Top Machine Learning Engineer Jobs in Denver & Boulder, CO

Lead the development and deployment of machine learning models, collaborate with cross-functional teams, mentor juniors, and innovate product features.

The role involves building awareness of technologies, mentoring talent, promoting a culture of engineering excellence, and collaborating on critical business issues.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Responsible for designing and deploying large-scale machine learning systems, optimizing performance, collaborating with cross-functional teams, and ensuring safe and responsible AI practices.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

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

Lead technical direction on projects, mentor engineering teams, and build scheduling tools and forecasting interfaces for support agents. Collaborate with product and design teams to convert vague problems into technical solutions.

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 Machine Learning Engineer II will design, build, and deploy machine learning systems, focusing on causal inference and modeling solutions, while collaborating with cross-functional teams and ensuring efficient ML pipelines.

Work with the product team on automating data ETL pipelines, deploying ML models, and connecting ML models to user interfaces. Collaborate with cross-functional teams on product development.

As a Machine Learning Engineer, you will design, build, and test deep learning features, optimizing computer vision applications while collaborating with the ML team and improving processes.

As a Machine Learning Engineer at Shipwell, you'll build and scale AI-powered logistics solutions, maintaining data pipelines and ML infrastructure across the organization.

Design and maintain scalable machine learning infrastructure, collaborating with data scientists, ensuring performance, security, and compliance of AI systems.

The MLOps Engineer will develop scalable ML pipelines, operationalize models, ensure deployment pipelines, and maintain ML infrastructure on AWS, collaborating with teams to ensure model performance and compliance.

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

Drive the development of AI solutions for payments, ensuring low latency and high reliability, while mentoring teams and collaborating cross-functionally.

As a Staff Machine Learning Engineer, optimize card pricing models, lead ML lifecycle, collaborate with experts, and enhance predictive features.

The Staff AI/ML Engineer will design and build AI-powered services, develop machine learning models, and optimize workflows, collaborating across teams to deliver quality solutions.

The Senior Machine Learning Platform Engineer will enhance ML capabilities by optimizing streaming pipelines, mentoring junior engineers, and building tools for model performance analysis.

The Principal Machine Learning Engineer will lead the development of AI/ML solutions to enhance user personalization within Yahoo Mail, mentor teams, and drive innovation while maintaining code quality and engineering standards.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

As a Senior Staff Machine Learning Engineer, you'll lead projects on ML models for search and recommendations, impacting over 150M users. Responsibilities include improving ML systems, collaborating with cross-functional teams, and developing infrastructure for model deployment.

The Staff Machine Learning Engineer at Niche will lead ML initiatives, build and deploy models, measure results, mentor staff, and drive business growth through data-driven solutions.

The engineer will build end-to-end applications, analyze data trends, deploy solutions, and improve process efficiency for the solar industry.

As a Machine Learning Platform Engineer, you'll design a centralized platform for ML solutions, advocate for its adoption, manage priorities, write scalable code, debug systems, and integrate with third-party vendors.