Top Machine Learning Engineer Jobs in Seattle, WA

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

Lead the design and optimization of advanced AI/ML systems at GEICO, mentoring teams, and ensuring architectural excellence while integrating innovative ML solutions.

Lead innovation in machine learning recommendations, mentor engineers, and collaborate with teams to enhance user experiences on Pinterest. Oversee large-scale ML systems and deliver strategic results.

This role focuses on optimizing neural model architectures and systems for high performance across multiple GPU/TPU platforms, collaborating with various teams to enhance model efficiency and performance under real-time constraints.

As a Senior Staff Software Engineer, you will design scalable infrastructure for ML models, optimize performance, and collaborate with teams to enhance ML experimentation tools.

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.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

The Machine Learning Engineer will design, deploy, and maintain ML models, work with large datasets, and collaborate with teams to enhance AI solutions.

The Staff Machine Learning Engineer will design, code, and deploy ML models, improve backend systems, and mentor engineers.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead the development of Computer Vision and Machine Learning projects at Dandy, focusing on 3D geometric problems and automation in dental manufacturing.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

The ML Engineer will design and automate evaluation pipelines, curate datasets, deploy voice models, and ensure model performance while scaling workloads.

Lead technical efforts on sensor integration and perception systems, ensuring high performance and reliability in autonomous vehicle technology.

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

The Software Engineer will collaborate with researchers to develop and deploy ML models for pricing, handling model operations and challenges.

We're looking for an AI/ML Engineer to enhance our edge MLOps solutions, improve ML workflows, and support team development with strong technical expertise in Python and ML frameworks.

The Applied Machine Learning Engineer will develop AI-driven solutions, focusing on backend systems, AI integration, model deployment, and MLOps best practices, while collaborating with cross-functional teams.

The Senior Machine Learning Engineer will evaluate and apply advanced ML models, integrate with company infrastructure, and support data pipeline orchestration while focusing on autonomous vehicle technology.

As a Senior Consultant II, you will integrate AI technologies into business applications, build scalable microservices, and deploy AI models in production environments.

Develop and optimize large-scale ML models and training pipelines for automating PCB layouts, collaborating on data pipeline design and novel architectures.

As a Machine Learning Engineer, you will fine-tune transformer models, deploy machine learning solutions, and work with cross-functional teams on innovative projects.