Top AI & Machine Learning Jobs in Seattle, WA

The Machine Learning Engineer role focuses on utilizing machine learning techniques to enhance team productivity and develop software solutions. It involves working collaboratively to support various projects.

The Machine Learning System Engineer will develop and implement machine learning models, ensuring their effectiveness in various applications while collaborating across teams.

This role involves innovating AI solutions in software development, focusing on LLM integration and developing AI features with tech leadership.

Innovate core intelligence solutions within DevAI products, focusing on LLM integration, prompt engineering, and developing AI features in collaboration with diverse teams.

The Senior Machine Learning Engineer will lead AI coding agent design and deployment, optimizing ML pipelines and collaborating with product teams to enhance developer productivity.

The Senior Machine Learning Engineer at Atlassian will work on developing and implementing machine learning models, focusing on enhancing team collaboration tools. Responsibilities include building algorithms, optimizing performance, and collaborating with cross-functional teams to support product development.

As a Senior Machine Learning Engineer, you will define search metrics, optimize retrieval paths, and investigate search-quality issues to enhance operational excellence.

As a Principal Forward Deployed Engineer, you will lead the design and deployment of AI/ML solutions, analyze complex data, mentor teams, and align technical strategies with business goals.

As a PhD AI Research Intern, you will collaborate on advanced ML projects, manage datasets, evaluate algorithms, and contribute to publications.

Lead the development of GenAI products and manage a cross-functional team. Shape strategy, mentor team members, and ensure quality in AI systems.