Artificial Intelligence Jobs in Thousand Oaks, CA

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

Assist in developing AI solutions, collaborating with business leaders, integrating AI technologies, and enhancing product management strategies for organizational objectives.

The Principal Product Manager will explore monetization opportunities in AI environments, developing frameworks, collaborating with teams, and defining go-to-market strategies.

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.

As a Senior Backend Engineer, you will architect and maintain data infrastructure for analytics and personalization, optimize microservices, and ensure system reliability while empowering engineers to deliver customer-focused solutions.

The AI Engineer will develop AI-powered applications, integrate APIs, enhance productivity and optimize performance in collaboration with cross-functional teams.

As an AI/ML Scientist Intern, you will design and evaluate models focused on graph-based learning, assist with data engineering, and collaborate with teams on AI initiatives.

As an AI/ML Scientist Intern, you will assist in developing AI models, focusing on reinforcement learning and optimization while collaborating with teams and stakeholders.

Assist in building and analyzing datasets and implementing machine learning models while collaborating with researchers for data science projects.

The role involves developing AI solutions, deploying ML models, conducting data analysis, and collaborating across teams to drive business impact.

Collaborate on AI engineering projects, develop ML models, and integrate innovative AI solutions into products, enhancing user experiences and operational efficiency.

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.

The AI Enablement Senior Associate drives AI adoption through enablement activities, workshops, and content creation, connecting internal teams and resources.

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.

The Generative AI Engineer will design, build, and maintain AI solutions, including platforms for automation and developer efficiency, while collaborating with various teams and mentoring junior engineers.

The AI Senior Solution Architect leads technical projects focused on AI solutions, manages teams, develops proposals, and engages with clients, ensuring successful delivery of products and business development support.

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

Lead the design and deployment of AI models, oversee data governance, and partner with stakeholders for AI integration in legal practices.

Develop and maintain scalable APIs and Kubernetes environments for AI solutions, collaborating with teams to ensure robust and secure deployments.

As an AI Infrastructure Engineer, you will design and build systems for AI products, optimizing performance and supporting sales operations.