Machine Learning Jobs in Santa Ana, CA

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.

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.

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.

The Lead Quantitative Scientist will design and lead quantitative models for lending and financial forecasting, enhancing the collectibles market's data-driven infrastructure, while collaborating cross-functionally and building a team over time.

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.

Onsite Senior AI Product Owner for a construction client in Santa Ana. Own backlog, roadmap, and sprint priorities; translate business needs into user stories and acceptance criteria; lead AI/analytics use cases (predictive analytics, ML, computer vision, OCR, GenAI); collaborate with data science and engineering for deployment and governance; engage construction SMEs and stakeholders; coordinate offshore teams and ensure delivery readiness and quality.

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.

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 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.

Develop and implement ML algorithms to improve wireless system performance, analyze RF datasets, prototype and integrate models into radio firmware and networking stacks, build data pipelines, benchmark performance, and collaborate with cross-functional teams to deploy and validate ML-driven features.

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.

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.

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 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.