Machine Learning Jobs in Orange, CA

As a Robotics Software Engineer, you'll develop and maintain robotics libraries, optimize product performance, and collaborate on the full software lifecycle, ensuring seamless integration of software with hardware systems in autonomous systems development.

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

Mission Operations Engineers at Anduril manage deployment, customer relationships, and product improvements for defense technology. They ensure mission success by working with engineering teams to adapt products to customer needs, and drive commercial growth through customer success initiatives.

The Director of Data & AI will lead the development of scalable data architectures and AI initiatives to enhance operational efficiencies and automate processes for space missions.

Oversee assembly operations, implement process improvements, and collaborate with engineering and production teams to optimize manufacturing of rockets.

Lead the design and implementation of perception and planning algorithms for autonomous vehicles using advanced technologies in robotics.

Lead the development of a novel navigation solution, focusing on perception, tracking and guidance for autonomous drones, involving CV and GNC expertise.

Support development of test processes for mechanisms, driving assembly tests and collaborating with teams for efficient production and troubleshooting.

Lead Compa's Applied AI team, overseeing ML projects and initiatives. Collaborate cross-functionally and ensure delivery of production-grade AI systems.

Lead the design and deployment of an AI-enabled platform for digital shipbuilding, focusing on operationalizing advanced models and ensuring system integration across various teams.

The Machine Learning/MLOps Engineer will develop automated AI systems for enhancing business processes across maritime production, focusing on model operationalization and workflow automation.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.

The Senior Machine Learning Engineer will propose and develop innovative solutions using ML and computer vision, working with AI techniques in a defense technology setting.

Develop Linux kernel drivers and features for servers and embedded hardware, lead platform-enabling efforts, and troubleshoot systems using advanced debugging techniques.

The Technical Account Manager is responsible for ensuring technical success for Genesys customers, managing relationships, and facilitating platform adoption using their technical expertise.

The AI Researcher will enhance AI adoption in Sales and Marketing through research, analysis, and strategic recommendations, focusing on optimizing workflows and costs.

As a Quantitative Research Analyst, you will collaborate with teams to develop strategies, prototype alpha signals, and manage data integration, focusing on systematic investing across asset classes.

The Regional Solutions Architect drives data modernization and analytics initiatives, offering strategic guidance and fostering client relationships to enhance business outcomes.

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.

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

Manage the Neutron Software team, oversee project deployment, and mentor engineers while ensuring high-performance culture and timely delivery of software.

The Senior Machine Learning Engineer will own the entire ML stack for the Counter Intrusion team, developing innovative solutions, training models, and optimizing algorithms for real-time applications.

Lead the development and implementation of machine learning solutions, providing strategic direction and fostering an innovative engineering culture. Ensure alignment with business objectives and deliver impactful models.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

As a Software Engineer specializing in ML & MLOps, you will design, scale, and deploy software solutions, focusing on machine learning applications and system integration for military capabilities.