Top Remote Machine Learning Engineer Jobs in Seattle, WA

As a Machine Learning Engineer III at Chewy, you will design, develop, and deploy machine learning models, work with optimization and simulation algorithms, and collaborate with cross-functional teams. You will create backend frameworks and build pipelines for deploying models in cloud environments, primarily using AWS. The role also involves providing mentorship and documentation of algorithms.

The role involves designing, implementing, and optimizing machine learning models, collaborating with teams to develop scalable solutions, and enhancing customer experiences.

As a Staff Machine Learning Engineer, you will design, build, and productionize ML models, collaborating with teams to tackle business challenges and ensure the quality of software solutions.

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.

Design and deploy AI solutions, mentor junior data scientists, and lead projects focusing on unstructured data and scalable ML models for HR applications.

Lead ML initiatives in payments and risk, develop models, engage stakeholders, enhance Gusto's products using data-driven insights.

As a Machine Learning Engineer, you'll build and monitor ML pipelines, implement ML Ops, and enhance ML engineering platforms while collaborating with client teams.