Top Machine Learning Jobs in Seattle, WA

The AI/ML Cloud Engineer will design and implement AI solutions using cloud platforms, manage AI services, and ensure best practices in AI engineering.

The AI/ML Engineer will design and deploy LLM-based solutions, create retrieval pipelines, and evaluate model performance while collaborating with engineers and experts.

Senior Machine Learning Engineer responsible for developing ML solutions to optimize ad performance, collaborating with cross-functional teams, and mentoring junior engineers.

As a Staff Machine Learning Engineer, lead AI initiatives, optimize ML models on Edge devices, and work with petabyte-scale data. Collaborate across teams to enhance product features and drive customer success.

As a Senior Machine Learning Engineer at BuildOps, you will implement and enhance AI/ML features, develop machine learning models, and collaborate with various teams to deliver practical software solutions.

Design and deploy machine learning models for clinical data. Collaborate with teams to implement ML solutions and ensure model efficacy in production.

Lead the MLOps infrastructure team to develop cloud-based analytics for performance insights across customer networks, mentoring team members and collaborating on AI/ML strategies.

The Senior Engineer will enhance the ML Infrastructure, focusing on scalable interfaces for GPU resources, testing, automation, and collaborating with a diverse engineering team.

As a Senior Machine Learning Engineer, you will develop methodologies for AI explainability, interface across teams, enforce best practices, and automate model updates.

Develop and maintain machine learning models for advertising budget allocation and bidding systems, ensuring efficient ad spend and performance optimization.

As a Senior Machine Learning Engineer, you will develop production-ready models to assess risk and support decision-making in loan applications at Affirm.

As a Software Engineer II, you will develop backend systems, collaborate with teams, monitor operations, and contribute to projects using Python or Kotlin.

As a Senior/Lead Machine Learning Engineer, you will develop AI/ML solutions, influence architectural decisions, and mentor team members while collaborating across teams to drive technical efforts.

The role involves working on machine learning projects in search, personalization, ads, and more. Interns will enhance algorithms and contribute to innovative solutions.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

As a Machine Learning Engineer, you will develop and enhance ML models for ads systems, collaborating with product leaders and engineers to optimize ads selection, ranking, and pricing.

As a DevOps Engineer for MLOps, you'll manage infrastructure for AI-driven speech tech, develop CI/CD pipelines, optimize model deployment, and implement cloud and container best practices.