Top Remote Machine Learning Jobs in Santa Cruz, CA

As a Senior Machine Learning Engineer, you will design ML APIs, build data pipelines, deploy models, and collaborate with various engineering teams to improve ML solutions for physical operations.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Design and deploy ML models to combat financial crimes, collaborate with teams, and enhance ML practices within the organization.

The Distinguished Machine Learning Engineer will drive modern technology adoption, solve complex business problems, mentor talent, and lead data engineering initiatives.

Lead a team of data scientists at GoodRx, combining hands-on modeling and strategic leadership to deliver machine learning solutions for healthcare affordability.

The Machine Learning Engineer develops frameworks for evaluating ML solutions, builds infrastructure, collaborates with teams, and maintains systems while supporting ML application monitoring and debugging.

Design and build scalable AI/ML products, collaborate with cross-functional teams to implement AI solutions, and enhance data strategies for marketing.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.