Top Remote Machine Learning Jobs in San Luis Obispo, CA

The Staff Machine Learning Engineer will apply advanced ML techniques to enhance automation and productivity at Coinbase, mentoring junior engineers and managing projects.

The role focuses on developing and optimizing machine learning models and systems, collaborating within an Agile team to solve complex business issues and ensuring deployment best practices.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

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

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

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