Top Machine Learning Engineer Jobs in Denver & Boulder, CO
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.
Design and develop systems that support the creation of large scale, big-data driven, machine learning models integrated into our product.
Lead experimental research projects optimizing large language models, innovate on data curation strategies, publish impactful findings, work autonomously on complex research challenges.
The Senior Machine Learning Engineer will be responsible for building and integrating ML solutions for evaluating customer cash flow risk and supporting multiple products within the Cash App's ML team. They will empower teams to optimize automated decisioning pipelines and identify growth opportunities through modeling techniques on comprehensive customer data.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop NLP and AI models for customer support, collaborate with cross-functional teams, monitor model performance, and present reports on trends. Must be based in Pacific or Mountain Time Zone.
Designing, building, and managing distributed services for Underwriting & Credit at Cash App. Leading cross-team projects, ensuring code quality, collaborating with various teams, and supporting development capabilities through mentoring.
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.
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.
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Develop machine learning models at scale to improve teaching and learning experience. Collaborate with cross-functional team to build products leveraging deep learning and large language models. Design and analyze experiments, develop feature pipelines, and optimize machine learning applications.
The Senior Machine Learning Platform Engineer at Block will focus on building self-service tooling for the model lifecycle, collaborating with internal teams, and leading architectural discussions to ensure a modular and scalable platform. The role requires 8+ years of combined experience in software engineering and machine learning engineering.
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.
Seeking a Deep Learning Research Scientist to create novel deep learning systems with the capability to perform tasks that were once considered unattainable. Fully remote position reporting to the Dessa AI Research Lead. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda through open source contributions.
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.
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