Top Machine Learning Jobs in Seattle, WA

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

As a Staff Machine Learning Engineer, you'll lead the Content Ranking team in enhancing machine learning models for video recommendations, ensuring scalability, performance, and technical direction across teams.

Lead innovative machine learning solutions for Chewy's advertising ecosystem, improving product relevance, ranking, and customer engagement through data-driven methodologies.

The Staff Machine Learning Engineer will develop ML models to enhance ad offerings, collaborate on product improvements, and publish research findings.

The role involves developing machine learning models for sponsored ads, improving selection and ranking, and collaborating with product teams to optimize advertising solutions.

The Senior Machine Learning Engineer at Chewy will develop and deploy ML models for sponsored ads, collaborating across teams to optimize advertising strategies. Responsibilities include model ideation, experimentation, and mentoring junior scientists while communicating insights to leadership.

As a Staff Machine Learning Engineer, you will set the technical direction for the Ad Ranking team, design and deploy machine learning solutions, and mentor engineers while driving large cross-team initiatives.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

The Principal Machine Learning Engineer will drive technical roadmaps, optimize video recommendation systems, lead technical initiatives, and collaborate on machine learning strategies with cross-functional teams, ensuring scalability and performance.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

The Machine Learning Engineer will design, build, and maintain production machine learning systems, focusing on scalability, reliability, and integration with existing products. Responsibilities include developing ML pipelines, establishing ML Ops best practices, and collaborating on product capabilities.

The Research Engineer will develop and benchmark ML algorithms, optimize transformer architectures for edge devices, and collaborate on research projects across teams.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

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.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

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.

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

Lead the design and deployment of machine learning models for personalized navigation and recommendations, managing projects end-to-end with a focus on user-centric solutions.

Design and deploy ML models for fraud detection, develop data pipelines, partner with teams to ensure effective fraud prevention, and enhance detection accuracy.

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.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

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.