Machine Learning Jobs in Thousand Oaks, CA

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

The Principal Machine Learning Engineer will drive the technical roadmap for personalized video recommendations, design and scale ML architectures, and collaborate on strategies enhancing content relevance.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

The Technical Business Systems Analyst will bridge the gap between business and IT by documenting requirements, analyzing processes, and optimizing systems using AI or automation to enhance efficiency and compliance.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

Define and drive vision for AI-powered tax products, collaborating with experts and engineers to translate needs into scalable solutions.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

As a Financial Engineer, design and maintain advanced financial models while providing analytical support for trading and hedging activities. Collaborate with stakeholders to enhance operational efficiency through advanced analytics and automation.

The Senior Product Manager for Job Seeker AI will oversee product vision for AI-powered matching technology, collaborating with teams on product development and ensuring effective model evaluation.

This role involves leading research and development in ML and AI, designing algorithms, developing language models, and enhancing human-AI systems. Requires collaboration with interdisciplinary teams and staying updated with industry trends.

The AI Product Manager will define product strategy, lead development, conduct market research, and oversee product lifecycle for AI-powered solutions.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Lead the design and implementation of enterprise-scale AI/ML solutions on Azure and AWS, ensuring security, scalability, and performance. Collaborate with teams to optimize workloads and integrate solutions with data platforms.