Machine Learning Jobs in Glendale, CA

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.

As a Data Scientist, you'll analyze complex marketplace data, develop statistical algorithms and predictive models for real-time decisions, and collaborate with teams to inform product development.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

The Machine Learning Engineer will create models for user value, evaluate technical decisions, conduct code reviews, and build scalable products.

As Product Manager for Falcon AI Studio, you'll shape strategy, gather requirements, collaborate with teams, and optimize user experiences for cybersecurity solutions.

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 Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead execution of Data Graph and Display initiatives, manage integrations, drive productization, and collaborate with cross-functional teams to ensure successful delivery of audience products.

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

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.

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

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

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

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 Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

The role involves designing, optimizing, and maintaining large-scale signal and training data systems, collaborating with ML engineers to improve workflows, and ensuring system performance and data quality.

Design and optimize ML infrastructure systems, enhance feature/training data generation pipelines, and ensure quality and lineage across ML lifecycle at Snap Inc.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

The Director of Business Operations & Strategy will scale Jerry.ai's insurance business, focusing on systems, strategy, and execution for the quoting engine and automation, while collaborating with cross-functional teams.

The AI Consultant supports AI implementation, collaborates with teams, conducts assessments, manages projects, and drives change management for AI strategies.

The AI Consultant collaborates with leaders to identify AI opportunities, designs proof of concept solutions, and advises on AI implementation and change management to ensure value creation.

Seeking a motivated Graduate Intern for the Analytic Enablement team to prototype AI applications in healthcare, collaborating with engineers and data scientists.