Machine Learning Jobs in Irvine, CA

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

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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 Senior AI/ML Engineer will develop AI tools, collaborate with cross-functional teams, ensure ethical AI practices, and enhance system performance.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.

The Senior Engineer II, Algorithm will develop and optimize ECG signal processing algorithms, lead technical initiatives, and mentor junior engineers in a medical device context.

The Sr Engineer will design and develop AI and ML models for health monitoring devices, analyze data, and implement algorithms for biomedical signal processing.

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.

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

The Head of Marketing Transformation leads strategic planning and initiatives for data-driven marketing, overseeing performance measurement, budget management, and AI implementation to drive growth in acquisition and retention.

The analyst delivers data-driven insights, performs data analysis, implements system improvements, and develops predictive models in a healthcare setting.

The GLDP Associate program offers hands-on experience in data analysis and engineering through cross-functional rotations and projects, preparing candidates for future roles at ASP.

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.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

The Sr. Product Manager will own product strategy and execution for key initiatives, collaborating with cross-functional teams and focusing on AI and e-commerce solutions.

The Account Executive will manage customer engagements, grow sales within Microsoft solution areas, and enhance client relationships, focusing on sales cycle management and pipeline growth.

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

The AI/Machine Learning Engineer II designs and develops models to analyze health data, ensuring efficient deployment in Masimo products.

The Sr Engineer, AI & ML designs and develops algorithms and models for health monitoring devices, utilizing advanced ML techniques and data analysis to improve medical technology and diagnostics.

Drive the full enterprise sales cycle for Microsoft-based solutions in manufacturing. Develop account and territory plans, co-sell with Microsoft, engage C-level stakeholders, manage forecasts, and collaborate with internal specialists to close opportunities.

The ML Ops Engineer will drive AI strategy, develop AI solutions, collaborate on logistics projects, and implement machine learning solutions.

This role involves developing enterprise AI architecture, leading AI solution delivery, providing technical guidance, and managing engineering standards for AI platforms at scale.

Support development of AI-powered solutions by assisting in machine learning model creation, data analysis, and collaboration with engineering teams.

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