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.

Summer internship building data science solutions: develop scripts and automated experiment tracking, perform clustering analyses, leverage generative AI and classical ML for document extraction/classification, collaborate with data engineering to build event-driven datasets, and create benchmarking/"golden" datasets.

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

As a Principal Machine Learning Scientist, you will conduct research, analyze data, develop models, and lead projects to implement innovative solutions in real estate.

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.

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 Software Engineer will lead AI/ML initiatives, develop production features, manage offshore teams, and ensure application stability in a hands-on engineering role.

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

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.

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.