Top Machine Learning Jobs in Seattle, WA

Create and evaluate machine learning models and ensure code quality. Mentor and collaborate with partners on scalable products.

The Machine Learning Engineer will create machine learning models, evaluate technical decisions, perform code reviews, and ensure product quality while collaborating with internal and external partners.

Manage and mentor a team of full-stack developers in machine learning platform, setting strategy, goals, and collaborating with teams to enhance ML engineering capabilities.

Lead a team of machine learning engineers to optimize a personalized video recommendation engine, ensuring scalability and performance, while managing infrastructure and conducting performance analyses.

The Machine Learning Engineer will develop models, perform technical evaluations, ensure code quality, and work collaboratively to solve problems for Snap's products.

Design and scale machine learning systems, collaborate across teams, apply best practices, and provide technical direction for ML initiatives at Snap.

As a Senior Machine Learning Engineer, you will develop scalable ML systems, collaborate with teams, and optimize machine learning models to enhance user experience.

Lead and implement data science models and algorithms to optimize supply chain solutions. Collaborate with cross-functional teams to improve processes and drive business insights using large datasets.

The Machine Learning Engineer I will develop and optimize machine learning models, collaborate with teams to deliver insights, and manage data pipelines at Qualtrics.

The role involves designing, implementing, and optimizing machine learning models, collaborating with teams to develop scalable solutions, and enhancing customer experiences.

The Head of Machine Learning and AI will lead teams, define strategies, manage ML/AI initiatives, and foster collaboration to enhance product delivery and decision-making.

The Senior Principal AI Architect leads AI initiatives, leveraging extensive machine learning expertise to develop innovative solutions, communicate effectively across teams, and mentor junior engineers in a collaborative environment.

As a Staff Machine Learning Engineer, you will design, build, and productionize ML models, collaborating with teams to tackle business challenges and ensure the quality of software solutions.

Lead design, development, and deployment of scalable ML systems, optimizing model performance and mentoring junior engineers to support business growth.

The Associate Director of Data Science will lead the development of algorithms and models for supply chain optimization, leveraging machine learning and operations research to improve procurement strategies.

As a Principal Software Engineer, you'll define technical roadmaps, guide system architecture, mentor leaders, and identify impactful opportunities in Capital Supply operations.

The Principal Software Engineer will oversee the technical strategy for Content Retrieval and Ranking, build scalable ML workflows, and influence product development by mentoring teams and advocating engineering best practices.