Top Remote Machine Learning Jobs in Seattle, WA

Lead the development of machine learning models and frameworks, collaborating with data science teams to create production-grade solutions.

Develop AI solutions and marketing analytics models to drive decision-making in consumer lending. Collaborate on scalable AI projects using Python and Spark.

As a Sr. Software Engineer, lead the development of AI-powered systems for Payment Integrity. Collaborate with teams, mentor engineers, and enhance system reliability while processing large-scale unstructured data.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

Drive technical innovation in promotional media measurement by building predictive models, executing experiments, and collaborating with cross-functional teams.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

The role involves analyzing data, developing and deploying machine learning models, and applying statistical methods to derive insights and solve business problems.

As a PhD intern, you'll train and adapt large models, build multimodal models, explore reinforcement learning, and define success metrics at Zillow scale.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

The role involves developing advanced machine learning solutions, collaborating with experts, and managing ML model architecture and deployment.

Develop and implement machine learning algorithms for genomic technology, collaborating with cross-functional teams and optimizing performance across various data types.

The internship involves developing AI solutions, consulting on architecture, building data systems, and gaining experience in machine learning and cloud technologies.