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.

As a Product Management Intern, you will manage impactful projects, collaborate with engineering teams, and contribute to product strategies to advance flexible manufacturing.

As a Robotics Engineering Intern, you'll design, develop, and operate robotic systems for manufacturing automation, working on path planning, control software, and sensor integration.

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 Quantum Device Measurement Scientist will develop techniques for operating spin qubits, conduct experiments, analyze data, and contribute to publications, requiring strong experimental physics and software skills.

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

As a Senior Machine Learning Engineer, you'll create ML models to optimize production processes, collaborating with engineers to enhance manufacturing intelligence.

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

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

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

The role involves R&D and software development in machine learning, focusing on algorithm development, data processing, and prototype development for various applications.

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.

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 a Senior Data Scientist in the MAQR group, you'll develop AI/ML models to enhance business decisions, collaborating cross-functionally to drive innovation in financial services.

As a Senior Associate Machine Learning Engineer, you'll develop and deploy ML models for insurance investment analytics and risk modeling, collaborating with engineers and data scientists to enhance ML systems.

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 Machine Learning Engineer will develop and implement ML strategies, design adaptive systems, build real-time model pipelines, and analyze gameplay data to enhance engagement and streamline workflows using ML tools.

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.