Machine Learning Jobs in Irvine, CA

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 VP, Algorithm - AI leads algorithm strategy, development, and execution within Masimo, focusing on AI, machine learning, and signal processing to drive innovation and clinical impact.

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

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

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 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 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.

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.

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 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 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.

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

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.

Lead the development and operationalization of machine learning systems at Taco Bell. Manage a team, optimize models, and ensure performance and reliability in real-time 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.