9 results for Machine Learning Engineer Jobs in Boulder, CO, US

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later with...

Job SummaryGeneral Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.We have an exciting opportunity for a Machine ...

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all ...

Responsible for deploying and maintaining high-performing ML models in real-time environments, monitoring model performance, developing ML pipelines, and collaborating with cross-functional teams. Mentor junior team members and ensure seamless integration of ML workflows with existing infrastructure...

Job SummaryWe are seeking an experienced Machine Learning Operations (MLOps) Engineer to join and help shape our new MLOps team. This role focuses on deploying and optimizing machine learning models for always-on, high-availability systems in real-world, real-time unclassified and classified environ...

Outside Analytics has recently become a proud subsidiary of SMX, marking an exciting collaboration that enhances our collective capabilities to deliver cutting-edge digital transformation solutions.Are you interested in the next generation of Space Force Remote Sensing capabilities? At Outside Analy...

AboutJob SummaryWe are seeking an experienced Machine Learning Operations (MLOps) Engineer to join and help shape our new MLOps team. This role focuses on deploying and optimizing machine learning models for always-on, high-availability systems in real-world, real-time unclassified and classified en...

Design, build, and deploy scalable machine learning pipelines and systems. Develop and optimize shared libraries and infrastructure, lead cross-functional technology initiatives, mentor junior engineers, and serve as a subject matter expert in machine learning and data engineering.

Develops and communicates insights and algorithms, uses statistical modeling for product improvement, translates algorithms into code, performs testing and debugging, applies deep learning technologies, leads technical teams, drives code reviews, adapts machine learning technologies, interfaces with...