Top Senior Machine Learning Engineer Jobs in Seattle, WA

Lead the development of advanced multi-camera perception and localization systems, focusing on image-based search and scalable retrieval systems.

As a Senior Machine Learning Engineer, you will build and optimize pipelines, ensure model quality, and collaborate with teams to enhance fraud detection systems.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

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

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

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.

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 multi-camera perception systems and algorithms for object detection, tracking, and visual search systems, collaborating across teams to ensure scalable deployment.

Design and implement test strategies for computer vision systems. Validate performance and collaborate with engineering teams for system reliability.

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 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.

Develop and implement ML models for search and recommendations, focusing on generative AI technologies and multimodal processing to improve creative experiences.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

Develop and deploy intelligent agent systems, optimize model infrastructure, and integrate AI capabilities into Zoom's products, leveraging LLMs and agentic AI.

The role involves improving a conversational AI by fine-tuning models, developing engaging features, and leading technical decisions across the stack.

Design, deploy, and scale machine learning systems for real-time recommendations, impacting user engagement, retention, and revenue across millions of journeys.

The Senior ML Engineer will enhance Launch Potato's advertising performance by developing and scaling ML systems that optimize revenue and improve user experience, collaborating across teams to design, deploy, and refine algorithms.

You will build and deploy ML models for personalization and optimization, working hands-on to impact business metrics using real-time data-driven solutions.

The role involves building and optimizing ML recommendation systems for personalized user experiences. You will design and deploy large-scale ML systems that enhance user engagement and business KPIs through real-time predictions and A/B testing.