Top Machine Learning Jobs in Seattle, WA
Lead and grow a team to build state-of-the-art event-driven real-time ML ecosystem. Provide technical direction for ML application and pipeline management team. Partner with stakeholders for scalable ML development. Mentor team members for success and growth. Maintain culture of innovation and quality. Work in Agile environment focusing on collaboration.
Senior/Staff Machine Learning Engineer at Rokt, responsible for designing, building, and productionizing machine learning models to solve business challenges. Collaborate with product managers and engineers, maintain code quality, research and prototype new models, and mentor team members.
Design, build, and enhance batch and real-time inference services and tooling to support Machine Learning use cases. Collaborate with cross-functional stakeholders to drive strategic roadmaps and priorities. Partner with ML modelers to encourage adoption of new tools and technologies. Have a significant impact on influencing team culture.
Featured Jobs
Lead the development and deployment of machine learning and data science solutions to enhance shopping experience and drive revenue through Sponsored Advertising at Chewy. Collaborate with Product and Engineering teams to innovate and optimize algorithms for selection, ranking, relevance, and auction dynamics. Publish research papers, establish best practices, and mentor junior scientists to improve customer engagement.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, and develop an AutoML platform. Provide technical direction that influences the entire company.
Hiring Senior Machine Learning Engineers to join the ML Platform team at Warner Bros. Discovery. Responsible for building a scalable Machine Learning platform to train, evaluate, deploy, serve, and monitor ML models for global brands.
You will be at the forefront of developing and implementing advanced ML models to address complex challenges and contribute to our business goals.
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.
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.
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