Top Fintech Machine Learning Engineer Jobs in Seattle, WA

The Senior Machine Learning Engineer will design tools for agent development, optimize AI systems, and collaborate with teams to implement production-ready solutions.

The Principal Applied ML Researcher will define ML and LLM strategies for Trase OS, lead technical breakthroughs, manage the research-to-production lifecycle, and ensure reliable systems deployment in regulated environments.

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.

As a Principal Machine Learning Engineer, you'll develop advanced ML solutions using LLMs and Knowledge Graphs, leading teams and driving innovation in AI technologies for improved customer experiences.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

As an Applied Scientist, you will design and implement machine learning models, develop personalized systems, and enhance decision-making through AI technology to improve user experience and business operations.

Lead a team to develop machine learning models for credit strategies, collaborating across functions and delivering measurable business outcomes.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

As an Applied AI Engineer, you will design and implement ML systems for customer interactions, focusing on performance and scalability.