Top Machine Learning Engineer Jobs in Seattle, WA

Develop machine learning models and algorithms, optimize features for customer experience, and build scalable data pipelines in a collaborative environment.

The Machine Learning Engineer II develops scalable ML systems, optimizes machine learning models, collaborates with teams, and implements features to enhance customer experiences.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning pipelines, conduct deep analyses, and mentor team members while driving innovation in clinician workflows.

As a Machine Learning Engineer, you will optimize algorithms for ad retrieval and prediction, collaborate globally, and lead projects to enhance ad quality and ROI.

The Principal ML Engineer at Nordstrom develops machine learning systems, drives architectural decisions, and mentors junior engineers to optimize performance and scalability.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

The Applied Scientist role involves developing machine learning models for fraud detection and predictive analytics, working closely with product and engineering teams.

The Staff ML Systems Engineer will build and optimize a cloud-based ML data processing platform, manage data ingestion, and mentor junior staff.

Develop ML systems for quality evaluation and data generation using LLMs, focusing on model design, deployment, and evaluation frameworks.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.

Develop and execute machine learning projects focused on Ads Ranking, design features, and build models to improve ad-related predictions.

The Senior Staff Machine Learning Scientist will develop AI-powered products, build ML models and pipelines at scale, and lead the applied science team in an agile environment.

The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.

The Staff Machine Learning Engineer will lead the design of ML systems, guide teams, and enhance detection capabilities in a high-impact security environment.

As a Senior Data/ML Engineer, you'll design and improve data retrieval and ranking pipelines for content discovery, running experiments and collaborating cross-functionally.

Develop methodologies for synthetic and hybrid data generation while collaborating with partners to ensure high-quality datasets for AI models.

Build and enhance machine learning models for Pinterest products, utilizing data-driven methods and overseeing data processing pipelines.

The role focuses on developing LLM solutions, optimizing ML pipelines, advising data teams on architecture and tooling, and collaborating cross-functionally.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

Design and optimize data pipelines and infrastructure for advanced analytics and machine learning solutions, collaborating with various teams to ensure efficient data flows.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.