Top Remote Machine Learning Jobs in Denver & Boulder, CO
Design, build, and enhance batch and real-time inference services and tooling that support Machine Learning use cases. Facilitate modelers by unblocking access to necessary infrastructure/tools. Develop prototypes, partner with ML modelers, and join a new and growing team with a significant impact on team culture.
Scythe is seeking a Software Engineer with expertise in neural network deployment and GPU software development. Responsibilities include optimizing models for deployment, maintaining evaluation tooling, collaborating with the Perception team, writing clean code, and deploying ML solutions onto autonomous mowers.
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.
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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.
Leading a team of engineers to build Dropbox's AI offering, Dash. Responsible for driving product monetization and revenue generation. Must have expertise in distributed systems and backend infrastructure. Minimum 7 years of software engineering experience with 3+ years in management roles.
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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