Top Machine Learning Engineer Jobs in Seattle, WA

As a Senior Machine Learning Engineer, you'll develop and optimize models for Chewy's Sponsored Ads to enhance product selection and advertising effectiveness. You will collaborate with cross-functional teams, lead model deployment, and publish research to elevate machine learning applications while mentoring junior scientists.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Senior Solutions Architect will design and implement cloud solutions focused on AI/ML and GPU technologies, collaborating with customers and internal teams to drive innovation and cloud adoption.

Develop and train models for sensor-level scenario generation using deep learning and multi-sensor fusion for autonomous vehicle perception at Zoox.

Design and develop retrieval systems for AI workflows at Zoom, involving machine learning, information retrieval, and multi-tenant architecture. Collaborate with teams to enhance AI capabilities across enterprise data sources.

The Senior AI/ML Engineer at Cooley will design, build, and maintain enterprise-scale AI/ML solutions across cloud platforms, optimize performance, and collaborate on AI implementations.

As a Senior Machine Learning Engineer, you will build scalable ML systems, lead the ML lifecycle, mentor engineers, and collaborate across teams.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

The Machine Learning Engineer will lead the design and integration of predictive models for monetization, retention, and user engagement, ensuring ML systems operate reliably at scale. Responsibilities include model development, collaboration with engineering teams, and embedding models into products.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

The Machine Learning Engineer will design, build, and operate core recommendation systems, innovating ML/AI solutions, collaborating with a tech team, and driving project ideas based on business needs.

The role involves researching and implementing machine learning approaches for 3D simulation, collaborating with teams to improve simulation fidelity, and building cloud pipelines.

Research and optimize machine learning techniques for 3D simulation, collaborate with teams, and build cloud pipelines for scalable solutions.

As a Machine Learning Engineer, you'll design and deploy large-scale models for advertising and commerce systems, optimizing for performance and relevance while maintaining ML pipelines.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Founding ML Engineer will develop and deploy ML systems, collaborate with teams, and translate ambiguous problems into production ML solutions, shifting between client delivery and platform development.

The Principal Machine Learning Engineer will design and implement autonomous AI systems, optimize large-scale services, mentor engineers, and collaborate with various teams to develop AI solutions.

Design and operate large-scale data pipelines for ML training, integrating orchestration tools, optimizing performance, and leading architectural improvements.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

As a Machine Learning Engineer, you will use NLP and ML to analyze data, develop insights, and enhance decision-making while collaborating with teams to improve processes and practices.

Lead the development of GEICO's AI virtual agent platform, overseeing design, implementation, and collaboration with cross-functional teams, while mentoring junior engineers.