Machine Learning Jobs in Anaheim, CA

Develop and improve robotics systems, implementing algorithms, creating simulations, integrating components, and conducting testing within an agile framework.

The role involves advising on Finance transformation, assessing capabilities, collaborating across functions, and implementing strategic technology solutions.

The Senior Manager, ML Engineering leads a team to productionize ML models, ensuring high performance and reliability while collaborating with various stakeholders.

Interns will own and complete a meaningful software project, learn from experienced engineers, and collaborate with a diverse team.

The Product Manager will oversee AI-driven messaging at Jerry.ai, collaborating with cross-functional teams, analyzing data, and improving customer interactions using AI.

The Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

Lead client-facing research in DeFi, managing a team to develop and analyze models, providing insights for protocols, and publishing research.

Join Capsule as an AI Engineer to develop ML models for video editing. Responsibilities include researching ML techniques, collaborating on feature development, and optimizing model performance.

As a Principal Software Engineer, you'll drive the technical vision for automation frameworks, collaborate across teams, mentor others, and enhance quality standards.

As a Machine Learning Engineer, you will develop and deploy advanced AI applications in the food industry, utilizing machine learning methodologies and collaborating closely with teams to enhance technology.

Analyze, design, and build ML models and data pipelines for Xumo’s streaming services, improving user experience with actionable insights.

The Principal Machine Learning Engineer will design and scale ML components, optimize inference frameworks, and provide technical direction across teams.

Join Tecton as a Solutions Architect to drive technical decisions, enable customer adoption of AI/ML solutions, and provide expertise in data systems.

The Lead Product Manager will drive the personalization strategy for Scribd's platform, overseeing recommendations, metrics, and algorithm integrations while collaborating with cross-functional teams to enhance user engagement.

As a Senior Machine Learning Data Engineer, you will analyze data, develop predictive models, manage data infrastructure, and collaborate across teams to enhance autonomous vehicle systems.

Lead the development of multi-camera perception and localization systems, design algorithms for object detection and tracking, and optimize visual search systems.

Design and deploy computer vision models for applications like object detection and video analytics. Collaborate with teams and mentor juniors.

The Analytics Engineer will build data pipelines, create dashboards, unify data models, and drive insights for decision making across Filmhub's business operations.

Seeking a Research Manager to lead teams in AI and robotics, defining research strategies and overseeing project deployments from concept to execution.

Adobe seeks Applied Scientists in Generative AI to develop large foundation models for various media modalities, collaborating with teams to enhance product capabilities.

The role involves conducting research in Generative AI, developing technologies, collaborating with teams, and publishing work in scientific venues.

As an AI Creative Technologist, you will leverage your coding and AI expertise to develop social content, train teams, and explore AI landscapes. You will also create documentation and engage with clients on effective AI tool usage.

Lead complex cross-functional programs for Netflix's localization, optimizing workflows and implementing AI and automation technologies.

The Research Data Scientist will build predictive models and algorithms, analyze large data sets, and collaborate with teams to optimize marketing analytics.

The Technical Lead will guide engineering teams in developing marketing tools and platforms, integrating data analytics, AI, and machine learning for optimized solutions.