Machine Learning Jobs in Santa Ana, CA

The Director of Robotics Product Safety leads safety vision and execution for autonomous systems, ensuring compliance and risk management, while mentoring the safety engineering team.

The Head of Engineering will lead AI-first engineering strategies, ensure product quality, build teams, and oversee data-intensive systems for enterprise clients.

The role involves leading the engineering strategy for Cotality's Mortgage segment, fostering innovation, annualizing AI applications, and managing technology operations while enhancing team collaboration and development.

Lead the AI/ML product development team, focusing on generative AI. Responsible for strategy, team recruitment, and ensuring innovation in product offerings to drive significant business impact.

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.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

Design and deploy machine learning systems, focusing on LLMs and optimizing them for production. Engage in ML operations and build end-to-end pipelines for scalable solutions.

Design and implement 3D machine learning models, process reality capture data, and integrate AI solutions in production environments for robotics applications.

Lead an engineering team to design, build, and operate AI/ML systems. Shape strategy, manage product roadmaps, and deliver reliable solutions while promoting a culture of learning and innovation.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

As a Senior Machine Learning Platform Engineer, you will manage ML infrastructure, optimize pipelines, mentor junior engineers, and ensure observability and compliance in production environments.

Design, research, and implement Generative AI models to enhance investment processes. Collaborate with teams to deliver enterprise-grade solutions and lead projects while solving complex machine learning problems.