Top 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.
As a Principal Scientist/Machine Learning Engineer, you will be driving the future direction of new initiatives and leveraging the latest advancements in ML. You will be responsible for designing, implementing, and scaling innovative machine learning solutions. You will collaborate with product managers, ML engineers, and software engineers to frame ML problems and architect solutions that deliver real-world value.
You will be at the forefront of developing and implementing advanced ML models to address complex challenges and contribute to our business goals.
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The Machine Learning Engineer (Modeling) role at Cash App involves building machine learning models for various workstreams such as fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to improve customer experiences, enhance security, and provide accessible credit solutions.
Qualtrics is seeking a Machine Learning Engineer to enhance their ML and AI R&D strategy, personalize the user experience, and build competitive advantages through data. The role involves developing scalable microservices, implementing machine learning models, and collaborating with cross-functional teams to innovate and optimize existing features.
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.
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.
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.
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