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.

Support the Chief Product Officer to develop product strategy, governance, and roadmap execution. Build planning processes, drive go-to-market strategies, coordinate cross-functional teams, analyze product performance and customer feedback, and integrate product plans with enterprise systems to launch and scale space-related products.

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.

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

Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.

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.

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

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.

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

Lead strategy, architecture, and delivery of enterprise data platforms and analytics. Oversee data integration, pipelines, data governance, quality, and platform operations. Partner with business and IT leaders to define KPIs, enable self-service analytics, support AI initiatives, and manage vendor relationships while leading a cross-functional data engineering and analytics team.

Lead PRP's Accounts Payable Recovery Audit practice, managing the end-to-end audit lifecycle, P&L performance, client engagements, and a team of managers and analysts. Use analytics, automation, ERP/AP tools, and benchmarking to identify overpayments and recover funds, negotiate with vendors, present findings to finance leaders, and drive process improvements and business development.

Lead architecture and implementation of production-grade agentic systems integrating LLMs across applications. Drive LLM integration strategy, cognitive automation roadmap, scalable distributed system design, best practices, cross-functional alignment, and mentor engineering talent.

Lead discovery product efforts across search, browse, and live feed to help viewers find and connect with creators. Define recommendation requirements, partner with ML, design, and engineering, run experiments, measure impact, and own the discovery roadmap to improve ranking, relevance, and viewer retention.

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

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, 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.

Design, train, and deploy state-of-the-art deep learning models (transformers, CNNs) for end-to-end navigation. Build perception, prediction, and planning solutions, implement data pipelines, deploy and monitor models in production, detect drift, and troubleshoot integration and performance issues for real-world robotic systems.

Design and build distributed ML infrastructures to optimize data processing, model training, and evaluation among teams.

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.