Top Machine Learning Jobs in Seattle, WA
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
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.
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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.
Snap Inc is looking for a Machine Learning Engineer to create models driving value and prioritize duties with strong collaboration skills. The role requires 5+ years of experience in developing machine learning models for various purposes.
Join the Chewy Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models to simplify product discovery for pet lovers on Chewy.com. Work on all stages of model development and impact millions of customers daily.
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.
As a Senior Software Engineer on Remitly's Machine Learning Platform team, you will build production systems for real-time and batch data processing, collaborate with various teams to develop pricing engine strategies, and design future ML systems. This role offers a starting base salary range of $180,000-$225,000 per year with additional benefits such as equity, paid time off, health benefits, and more.
Research, design, and build high-impact end-to-end machine learning systems for customer growth
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