Top Machine Learning Jobs in Seattle, WA
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.
Seeking a Principal Data Scientist with strong engineering skills to lead ML and AI initiatives across multiple teams at a financial services company. Responsibilities include building ML / AI products, setting technical standards, providing mentorship, and collaborating with various departments. Requires strong experience in machine learning, AI, data products, and software engineering. Must have expertise in technologies like Airflow, DBT, Git, Docker, Kubernetes, BI tools, Spark, AWS, Snowflake, Scikit-learn, TensorFlow, PyTorch.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
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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.
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software and work on data acquisition and evaluation metrics for performance and quality at scale.
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.
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Lead a team of Machine Learning Engineers and Data Scientists to build machine learning solutions for fraud prevention in the financial services industry. Partner with ML ops and ML platform teams to improve research efficiency and model quality. Define frameworks for evaluating model performance and accelerate the model development processes. Evaluate and introduce new algorithms and model architectures to improve performance.
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 advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong communication and problem-solving skills.
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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