Machine Learning Jobs in Thousand Oaks, CA

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

Designs and advances enterprise data and analytics capabilities, including data warehouses, lakes, semantic models, pipelines, dashboards, and AI-ready data assets. Applies statistical analysis, predictive modeling, forecasting, and machine learning to improve business decisions and operational efficiency. Provides technical leadership in data architecture, governance, analytics technologies, automation, and strategy while partnering with business and technology stakeholders.

Ph.D. interns apply machine learning and AI to semiconductor chip design or enterprise engineering tools. Responsibilities include developing ML models for EDA automation, placement, timing, power, and verification, or deploying LLM, RAG, and agentic systems. Interns will train, evaluate, and deploy models, conduct rigorous experiments, collaborate with engineering and technology stakeholders, assess production performance and safety, and present findings to leadership. The role requires doctoral research in AI, machine learning, computer science, electrical engineering, data science, or a related field.

Lead process assessments and improvement across mortgage operations. Map workflows, identify automation and training gaps, manage vendors, conduct UAT, surface regulatory risks, and present findings to management to streamline operations and improve quality.