Top Machine Learning Engineer Jobs in Seattle, WA

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the development of generative AI services and APIs at Adobe. Architect ML workflows, optimize inference pipelines, and drive cross-functional collaboration.

As a Senior ML System Engineer, you'll develop infrastructure for ML models, collaborate with product teams, lead projects, and mentor junior members.

Innovate core intelligence solutions within DevAI products, focusing on LLM integration, prompt engineering, and developing AI features in collaboration with diverse teams.

The Senior Machine Learning Engineer will lead AI coding agent design and deployment, optimizing ML pipelines and collaborating with product teams to enhance developer productivity.

Design and develop generative AI services and APIs for Adobe products, optimizing models and building inference pipelines. Mentor ML engineers.

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

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

As a Software Engineer in ML Infrastructure, you will optimize AI systems, build pipelines for ML models, and collaborate with ML engineers to enhance performance and reliability.

As a Senior Machine Learning System Engineer, you will develop and enhance machine learning systems, collaborating with teams to improve product functionality and performance.

Seeking a Senior Machine Learning System Engineer with expertise in AI and machine learning algorithms to enhance team productivity.

The Senior Machine Learning Engineer at Atlassian will work on developing and implementing machine learning models, focusing on enhancing team collaboration tools. Responsibilities include building algorithms, optimizing performance, and collaborating with cross-functional teams to support product development.

The AI/ML Platform Engineer will design and scale AI and ML infrastructure, collaborating with teams to deploy machine learning models and enhance user experience across Whatnot's marketplace.

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.