Machine Learning Jobs in Glendale, CA

The Business Solutions Manager will support reporting and analytics for NBCUniversal's Studio Group, engaging with stakeholders to enhance data-driven decision-making, overseeing technical teams, and managing application ecosystems.

Lead global payment strategy and fraud prevention efforts, analyze payment data, optimize payment orchestration, and ensure regulatory compliance. Collaborate across teams to enhance payment performance and mitigate fraud.

The Principal Software Engineer will design and implement scalable backend services, lead technical initiatives, and ensure high availability across critical systems.

Lead and grow Rula's privacy program ensuring compliance with HIPAA and other regulations while addressing AI-related risks and managing privacy incidents.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

As a Sr. Product Designer, you'll create user-centered mobile experiences for AI-enabled mental health solutions, collaborating with cross-functional teams.

The Director of Clinical Product leads AI-integrated mental health initiatives, ensuring clinical effectiveness and user engagement while collaborating with cross-functional teams to enhance patient experiences.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Principal Product Manager will lead the development of an AI-native platform, overseeing design, strategy, and cross-functional coordination for compliance and operational tools within Circle.

Support the IT Operations Management product sales by addressing customer business issues, demonstrating technical credibility, and facilitating workshops and presentations.

The Principal Machine Learning Engineer will drive the technical roadmap for personalized video recommendations, design and scale ML architectures, and collaborate on strategies enhancing content relevance.

Lead the Privacy Engineering team at Snap Inc., overseeing privacy initiatives, data governance, and regulatory compliance while aligning with business goals.

The AI Data Scientist will leverage proprietary language-based clinical data to develop insights, support operations, and enhance patient experiences through innovative AI solutions.

The Product Manager will optimize ad marketplace experiences, develop new products, manage a long-term roadmap, and collaborate with cross-functional teams.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

Manage client service accounts, lead and develop teams, deliver top-quality results using technology and data for Deal focused solutions, and drive client engagement.

Lead multiple teams in developing AI-driven products, manage R&D projects, and align with cross-functional stakeholders. Mentor engineers and data scientists while driving innovation in recommendation systems and AI technologies.

Lead multiple R&D teams in AI-driven product development. Manage large-scale projects, collaborate cross-functionally, and drive innovation in recommendation systems.

As a Robotics Engineering Intern, you will work on robotic grinding applications, collaborating with teams to design, implement, and test systems, while enhancing manufacturing efficiency.

The Principal Product Manager will lead the strategy and execution of DISQO's Experience Platform, focusing on AI-driven insights for enterprise customers, managing cross-functional teams, and ensuring impactful product delivery.

The Senior Machine Learning Engineer will develop AI agents for healthcare workflows, collaborating with various teams to enhance patient engagement and automate processes using cutting-edge technology.

Design and optimize machine learning infrastructure, develop high-performance systems for AI model serving, and ensure model training and evaluation scalability.

Assist in designing and executing analytics for business questions, gain practical experience, and develop professional skills under supervision.

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.