Top Machine Learning Jobs in San Luis Obispo, CA

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

The Senior ML/AI Modeler will automate risk investigations using AI, improve productivity through technology, and deploy ML systems at scale, while collaborating across teams to enhance performance and decision-making.

The role involves developing and deploying AI systems to automate risk and compliance processes, and driving strategic initiatives across teams to enhance productivity and decision-making.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

Join Wasabi as an AI Engineer intern to build scalable machine learning solutions. Responsibilities include maintaining ML pipelines, model integration, and collaboration with various teams to drive AI initiatives.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

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, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Design and implement forecasting and optimization models, build ML pipelines, collaborate with teams for model integration, and improve data workflows.

The role involves managing a client portfolio of Chief Data Officers, delivering insights on data strategy and analytics, mentoring clients, and fostering collaboration with internal teams to ensure client satisfaction and retention.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.

As a Senior Machine Learning Engineer, you'll design and manage ML infrastructure, work with Data Science to implement models, and oversee system health and reliability.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

Lead the definition and rollout of AI-powered product features, collaborating with teams to enhance fraud prevention solutions.

The Director, Strategy & Insights will enhance client performance using advanced analytics and machine learning, ensuring client satisfaction and achieving revenue goals through strategic planning and cross-functional collaboration.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

Manage a team of data scientists and analytics engineers to innovate Netflix's core product experience, driving measurement and insights across the TV and interactive discovery domains.

Lead the development of first-party measurement solutions, integrate with third-party partners, and ensure high-quality analytics outputs within the ads ecosystem.