Top Machine Learning Jobs in San Luis Obispo, CA

Lead the development and deployment of scalable machine learning models for fintech applications, collaborating with various teams to meet business objectives.

Support the design, development, and deployment of machine learning models and data pipelines. Collaborate on ML projects and document processes while participating in Agile workflows.

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The AI/ML Engineer will develop and optimize AI models for US government clients, ensuring security and compliance with federal standards, while leading cloud and on-premises deployments.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, implement MLOps best practices, and collaborate with cross-functional teams to integrate AI capabilities into products.

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

As a Machine Learning Engineer, you will enhance ML algorithms, write production-level code, and collaborate within a distributed engineering team to optimize TV advertising technologies.

As an Associate Machine Learning Engineer, you'll apply foundational AI concepts in a production setting, contributing to model assessments, automated training processes, and collaborative development in a fast-paced Agile environment.

The AI Engineer will develop, deploy, and optimize machine learning models for cybersecurity. They will work on production-ready systems and support multiple AI initiatives.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.