Top Machine Learning Jobs in Seattle, WA

The Staff Fullstack Engineer will drive technical excellence and innovation, focusing on AI-driven talent matching, mentor engineers, and collaborate across teams to shape technical strategy.

The Principal Machine Learning Engineer will develop ML solutions using advanced models, collaborate with teams, and leverage cloud resources for applying ML products at scale.

Design and implement AI services, collaborate with stakeholders, ensure security compliance, manage end-to-end features, and lead operational excellence for ML systems.

The Senior Software Engineer will lead the development of a document management system utilizing AI and ML, mentoring teams, and ensuring engineering excellence.

As a Senior Software Engineer at StubHub, you'll design and develop technologies for audience intelligence, mentor team members, and improve software across platforms.

Design, develop, and maintain scalable backend systems for the Ads Creatives & Policy team, ensuring compliance with policies and optimizing ad creative processes.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead and inspire full-stack engineers, delivering innovative solutions and overseeing impactful projects while driving technical excellence and fostering team collaboration.

As an ML Infrastructure Engineer, you will build infrastructure for AI development, automate ML workflows, and enhance developer experiences while collaborating with various engineering teams.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

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

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Lead Ads Measurement strategy and execution, improving ad performance through engineering solutions and cross-functional collaboration, mentoring team members.

Lead engineering teams in developing high-performance systems for trading and model inference. Drive innovation and mentorship while ensuring operational excellence and collaboration with stakeholders.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

As a Back-End Software Engineer, you will develop AI solutions, optimize data processing pipelines, and mentor junior engineers, ensuring the system's scalability and performance.

As a Sr. Solutions Architect III, design and deliver technical solutions, optimize architecture for performance, and collaborate with cross-functional teams while engaging with government stakeholders.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Lead and manage the Site Reliability Engineering team, define strategic vision, drive SRE best practices, and ensure system performance and 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.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

Lead the architecture of master data and governance solutions, design cloud-ready architectures, data quality management, and implement governance operating models.