Top Remote Machine Learning Jobs in Seattle, WA
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work. Grow and mentor a team of machine learning modelers and engineers, partner with product leaders, and contribute to strategic plans. Stay up-to-date with AI techniques and help shape the company's ML and AI strategy.
Seeking a Senior Machine Learning Engineer with expertise in data-driven attribution to join the Measurement Machine Learning teams at Square. Responsibilities include building ML solutions, partnering with stakeholders for growth strategy, and staying updated on industry trends.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Remote work with a distributed team in the USA and Canada.
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Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
Looking for a Staff Machine Learning Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large scale initiatives, and participating in open source projects.
Build AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software using advanced technologies. Ensure scalability and performance across multiple languages.
Join Dropbox as a Machine Learning Engineer to shape the future direction of the organization, build large-scale ML systems, personalize user experiences, and impact millions of users with innovative AI solutions.
Develop and deploy Large Language Model solutions on customer data, provide technical mentorship, collaborate with product and engineering teams, and present at conferences. Requires 4+ years of data science experience and a graduate degree in a quantitative discipline.
Design and build platforms and services for machine learning systems to improve transaction efficiency on Stripe. Collaborate with various teams to deliver impactful product values to customers. Mentor junior engineers in their technical growth.
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