Top Machine Learning Jobs in Seattle, WA

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

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.

You will design and implement hybrid retrieval systems, optimize data pipelines, and architect knowledge graphs to enhance operational decision-making.

As a Senior Full Stack Engineer, you'll collaborate with the CTO and team to design and build products, enhance back-end systems, and scale machine learning platforms.

The Principal Engineer will lead the technical strategy for ad products, manage engineering teams, and implement AI-driven solutions for user and advertiser experiences.

Lead and architect software solutions for drug discovery, mentoring engineers and enhancing the company's data infrastructure with machine learning expertise.

You will train, evaluate, and deploy ML models for scene understanding, behavior prediction, and planning, while collaborating with other engineers and staying updated on industry trends.

Develop photorealistic digital twins of facial regions by collaborating on facial capture systems, 3D reconstruction pipelines, and novel rendering algorithms.

Lead the ML Automation & User Experience team, driving innovation for ML lifecycle tools and enhancing user experience across Pinterest.

As a Solutions Engineer, you will oversee customer integration of Infobip products, manage pre-sales activities, and ensure project delivery while satisfying business needs through technical solutions.

As a Senior Software Engineer on the ML Platform team, you will build and maintain MLOps platforms, enabling machine learning model deployment and training. You'll develop infrastructure for data access, tooling for rapid experimentation, and ensure automation in model training processes, collaborating with cross-functional teams.

Lead the technical direction and development of privacy-preserved machine learning models for ads delivery systems, mentoring junior engineers and collaborating across teams.

The Lead Machine Learning Engineer designs and implements scalable software and ML solutions, optimizes workflows, conducts evaluations, and collaborates closely with data scientists to enhance the performance of ML algorithms.

The Senior Manager of Software Engineering for Payments will lead the development of ML-driven payment systems, ensuring reliability and optimizing transaction performance through collaboration across departments.

The role involves optimizing neural model architectures and enhancing real-time system performance for large scale autonomous driving models on GPU/TPU platforms.

As a Senior Machine Learning Engineer, you will design and implement ML models, work with large datasets, and develop scalable AI solutions across Workday's product ecosystem.

The role involves researching and implementing reasoning in large language models, improving data strategies, and collaborating with teams to enhance AI applications.

Lead the strategy and development of scalable AI/ML tools and platforms at Nordstrom, collaborating across teams and fostering innovation.

As a Startup Solutions Architect, you'll advise startups on integrating AI solutions, translating business requirements into technical frameworks, and guiding customers through deployment while leveraging your technical expertise and facilitating community engagement.

The Senior Machine Learning & Computer Vision Engineer role involves developing computer vision models, researching AI methods, working with large datasets, and implementing MLOps best practices to enhance Dandy's 3D dental platform.

The Staff Architect will lead AI innovation, design AI-powered solutions, strategize integration of LLMs, and mentor teams on AI technologies and best practices.

The Senior AI Engineer will develop AI behaviors and maintain systems for AI characters in a AAA video game, collaborating with designers and engineers to innovate AI solutions.

The Senior Machine Learning Engineer will build, integrate, and optimize ML systems in production while collaborating with engineering teams to deploy and maintain effective machine learning models.

Lead the development of machine learning models and systems for autonomous agricultural robots, guiding a team and integrating perception technologies.

As a Senior Software Engineer, you'll implement and enhance features for card products, optimize infrastructure, and manage complex state in user interfaces while collaborating with teams and influencing product direction.