Top Machine Learning Engineer Jobs in Denver & Boulder, CO

As a Staff Machine Learning & Computer Vision Engineer, you will build models for 3D scans, research generative AI methods, and develop MLOps pipelines, contributing to product enhancement and innovation.

The Senior Machine Learning Engineer will build and scale AI platforms while collaborating across disciplines to create effective agents, leading technical direction and making impactful AI applications.

The Senior Machine Learning Engineer will develop scalable and resilient systems to optimize ML models, improve workflows, and apply best engineering practices for large datasets.

As a Senior Machine Learning Engineer, you will develop ML and generative AI solutions, design ML systems, and lead AI initiatives, collaborating with various teams to enhance physical operations.

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.

As a Senior Machine Learning Engineer at Coinbase, you will develop and deploy ML solutions, utilize advanced methodologies for various challenges, and democratize ML resource access within the company.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models and solutions, collaborate with stakeholders, mentor junior engineers, and enhance product capabilities using AI technologies.

The Machine Learning Engineer will enhance search retrieval, train ranking models, build query understanding systems, and ensure robust pipelines for Reddit's AI-driven products.

Lead technical strategy for identity resolution systems and develop ML models for user matching while overseeing end-to-end ML workflows.

Develop advanced machine learning models and algorithms, collaborate with engineers, and enhance ML solutions within Workday's product ecosystem, focusing on user experiences and data analytics.

The Senior AI/ML Engineer II will lead teams in advanced AI/ML projects, focusing on generative models, driving outcomes, and collaborating on innovative technologies.

As a Senior MLOps Engineer, you will design and implement ML pipelines, manage cloud infrastructure, and collaborate to improve ML model performance.

Lead the development of data-driven products, mentor the team, and collaborate with cross-functional partners to enhance AI capabilities.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Lead the development of AI agents for HR and Finance, focusing on AI tool selection, system integration, and collaboration across teams.

As a Principal Machine Learning Engineer, you will design and develop machine learning applications, lead teams, and ensure project management excellence while engaging with clients.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

Lead complex AI initiatives by architecting and developing large-scale solutions, mentoring teams, and driving innovation in Airbnb's AI platforms.

Design and develop machine learning models, making architecture decisions, engaging in client interactions, and mentoring teams in a collaborative environment.

Lead ML projects to optimize search and recommendations at Airbnb, collaborating with cross-functional teams to enhance user experience and business impact.

Develop and enhance embedded software for ML applications, collaborating with various teams to improve system performance and reliability.

Conduct machine learning research, analyze data, build models, write sustainable code, and solve complex problems across multiple domains.

Lead engineering initiatives in Responsible AI, collaborate on bias mitigation in ML applications, mentor engineers, and define technical strategy.

As a Machine Learning Engineer, you'll develop advanced ML models, create LLM solutions, and collaborate with cross-functional teams to enhance customer experience.