Top Machine Learning Jobs in Seattle, WA

The Machine Learning Engineer will develop models, create LLMs, collaborate cross-functionally, and work with structured and unstructured data to enhance customer experiences.

The Senior Machine Learning Engineer will develop advanced ML models, collaborate across teams, and enhance customer efficiency through innovative solutions in a hybrid work environment.

Design, develop, and deploy advanced machine learning models for generative tasks, working collaboratively in a team to implement cutting-edge AI solutions.

The Reserve Engineer maintains and services robotic hardware, provides customer support, and assists in field projects. They are essential in resolving hardware failures and ensuring client satisfaction.

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

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.

Lead and mentor a team of AI engineers, develop AI models, oversee project objectives, and stay updated with AI advancements.

The Continuous Improvement Engineer will focus on engineering change requests and process improvements, utilizing Autodesk software in warehouse automation projects.

Design and implement AI models for ASR and TTS applications, optimizing LLMs, collaborating with teams, and enhancing existing models.

As a Principal Software Engineer, you'll drive technical strategies across teams, ensure high-quality systems, mentor engineers, and influence product decisions to unlock new business opportunities.

The Senior Machine Learning Engineer will design and develop data architectures, implement APIs, mentor junior engineers, and improve data infrastructure while collaborating with cross-functional teams to enhance analytics solutions.

Lead the development of AI-powered systems leveraging large language models for search relevance, conversational AI, and workflow automation, while collaborating with cross-functional teams and staying updated on AI innovations.

As a Senior Machine Learning Engineer, you'll build optimization models for loan opportunities, collaborate cross-functionally, and implement data pipelines and machine learning algorithms.

This role involves leading pharmacometric strategies in drug development, focusing on innovative modeling approaches and interdisciplinary collaboration, especially in neuroscience.

Lead engineering team in designing and scaling risk systems for fraud detection and compliance, driving user-centric and data-driven strategies as Head of Risk Engineering at Mercury.

The intern will design, develop, and deploy AI/ML models and applications, collaborate with data scientists and engineers, and work on data products.

Interns will design and develop backend components for Generative AI solutions and contribute to AI platform infrastructure while collaborating with the team.