Top Machine Learning Jobs in Denver & Boulder, CO
Join the Machine Learning team at Cash App to develop models for fraud detection, customer support automation, and credit risk evaluation. Work on real-time fraud detection, proactive customer support experiences, and accessible credit solutions. Be part of a highly creative group that solves problems using first principles and deploys changes daily. Collaborate with product teams and leverage state-of-the-art algorithms and datasets to improve the lives of Cash App customers.
Senior Machine Learning Engineer specializing in data-driven attribution to fuel growth, build ML solutions, partner with stakeholders, and stay updated on advancements. Join a team dedicated to developing cutting-edge ML models and algorithms.
Join our team as a Staff Machine Learning Engineer at Workiva. Spearhead the architecture and delivery of cutting-edge machine learning solutions, lead projects, develop tools and systems, and ensure the reliability and support of ML infrastructure. Collaborate with product teams, provide technical leadership, and communicate complex technical issues effectively.
Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for measurement, providing insights for strategic investment decisions. Partner with various stakeholders to refine growth strategies and inform decisions. Stay updated on the latest advancements in machine learning and data science.
Featured Jobs
Join Dropbox as a Machine Learning Engineer to shape the future with AI/ML, work on large scale ML systems, collaborate with cross-functional teams, and impact millions of users. Strong analytical and problem-solving skills are essential.
Gusto is looking for a Senior Applied AI Scientist to join our AI team and build out our Generative AI capabilities.
As an AI Engineer at VORTO, you will define the frontier of logistics optimization, supply prediction, and demand prediction. This role is roughly 80% software engineering and 20% data science. You will work with Go, TensorFlow, PostgreSQL, and various Google Cloud Platform tools to develop 'the brain' of the platform.
Build AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and solutions for enterprise customers worldwide.
As a Sr. Machine Learning Engineer, you will be central to the continued development of our ML strategy while owning and designing scalable MLOps solutions to enable that strategy.
Collaborate with Autonomy and Robotics teams to collect data, build data pipelines, maintain cloud infrastructure, suggest new technologies, and stay updated on data engineering trends.
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