Machine Learning Jobs in Pasadena, CA

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

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

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

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.

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.

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

Design and develop scalable AI/ML solutions while mentoring teams and collaborating with cross-functional partners to enhance customer experience through data-driven insights.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

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.

Design and develop MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to deliver solutions that solve business problems.

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

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.

As a Machine Learning Engineer, you will design and implement algorithms, maintain data pipelines, and ensure the scalability and efficiency of ML systems, collaborating closely with various teams.

As a Senior Associate in Business Operations, you will aid in data-driven decision-making, lead A/B testing, and partner across departments to enhance operational efficiency.

The Director, Business Operations & Strategy will drive the scaling of Jerry.ai's insurance business, overseeing strategy, systems, and carrier performance. The role involves cross-functional collaboration with product, engineering, and analytics to enhance user experience and ensure success in the insurance marketplace.

The Senior Manager, Learning and Workforce Development will design learning frameworks, integrate learning into production, and build partnerships to develop talent in the manufacturing sector.

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

Lead data science initiatives, working with senior leaders to drive innovation and manage a team. Responsible for strategy, execution, and stakeholder collaboration.

Support the implementation of AI solutions by collaborating with teams, conducting assessments, and managing change initiatives to ensure smooth integration and value creation.