Machine Learning Jobs in Santa Ana, CA

As an AI Engineering Manager at PwC, you will lead the design and operation of AI-powered platforms, mentor engineers, and ensure project delivery excellence while focusing on security and scalability.

As a Senior Manager, you will lead finance transformation efforts, assist with Oracle implementations, manage teams, and ensure client satisfaction.

As a Manager in the Finance team, you will support clients in their Finance Transformation using Oracle Cloud ERP and EPM, providing problem-solving, coaching, and analysis to enhance their financial functions with new technologies.

The manager will lead the design and delivery of Generative AI and Machine Learning solutions, mentor staff, and manage project lifecycle while ensuring client engagement and quality standards.

The AI Engineer Manager leads the Data and Analytics Engineering team in developing AI solutions, manages client accounts, analyzes data, and fosters team leadership and relationships with clients.

Manage AI engineering teams and client relationships, drive project deliverables, mentor staff, and uphold quality standards while leveraging advanced technologies.

The role involves managing client needs through technology solutions, mentoring team members, analyzing complex problems, and using AI/GenAI to enhance productivity and client relationships.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

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.

As a Senior Developer, you will build and evolve ML/AI applications on AWS, collaborating with teams to deliver effective solutions and ensure model accuracy.

The role involves managing analytics consulting projects, engaging with clients to translate business problems into analytics solutions, and presenting results to senior stakeholders. A strong background in data analytics and project management is essential.

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 supports AI governance and compliance activities, coordinates risk assessments, provides compliance documentation, and ensures alignment with regulations.

Design and optimize graph-based algorithms, develop scalable data science solutions, analyze large datasets, conduct A/B testing, and automate workflows while collaborating with cross-functional teams.

The role involves architecting distributed systems, developing data and ML pipelines, optimizing algorithms, and mentoring junior engineers, focusing on scalability 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.

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

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.

As a Senior Machine Learning Engineer, you will architect and operate production AI systems, build agentic workflows, and develop scalable inferencing pipelines. You will also mentor junior engineers and establish engineering standards across projects using Databricks and AWS.

The role involves designing and building production systems incorporating machine learning and Generative AI, collaborating on projects, and ensuring high code quality while demonstrating strong problem-solving skills.

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.

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.