Top Hybrid Machine Learning Jobs in Seattle, WA
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
Senior Machine Learning Engineer specializing in data-driven attribution to fuel Square's growth. Responsible for building machine learning solutions for the next generation attribution system, collaborating with stakeholders, and staying updated on advancements in ML and data science.
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.
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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.
Research, design, and build high-impact end-to-end machine learning systems for customer growth
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.
Develop new product features, explore emerging technologies, build and deploy machine learning models, work with large language models, create APIs and web services, collaborate cross-functionally, write maintainable code.
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