Top Machine Learning Jobs in Seattle, WA

The Machine Learning Engineer II develops scalable ML systems, optimizes machine learning models, collaborates with teams, and implements features to enhance customer experiences.

Develop machine learning models and algorithms, optimize features for customer experience, and build scalable data pipelines in a collaborative environment.

Drive the technical roadmap for personalized video recommendation systems, optimizing architecture, collaborating across teams, and advancing ML capabilities.

Develop scalable machine learning workflows and infrastructure for Snap Inc.'s applications, ensuring efficient data management and collaboration with product teams.

Lead a team of machine learning engineers to develop models and evaluations for ranking improvements in user and content understanding, ensuring architecture quality and team collaboration.

As a Software Engineer for ML Infrastructure, you will develop scalable machine learning workflows, manage data systems, and collaborate with product teams to enhance Snapchat's applications of ML.

The Software Engineer will develop scalable ML workflows, backend infrastructure for training, and data management systems. Collaborate with teams for machine learning integration into Snapchat products.

The Principal Machine Learning Engineer will design and implement ML components for Snap, optimize model inference with GPUs, and provide technical direction across teams.