Machine Learning Jobs in Pasadena, 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 the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

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

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.

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.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

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.

Define and drive vision for AI-powered tax products, collaborating with experts and engineers to translate needs into scalable solutions.

Develop and test quantum solutions for quantum advantage, leveraging control theory, algorithms, and machine learning while collaborating with cross-functional teams and publishing research.

The Senior Data Scientist will utilize ML and AI methodologies to develop models that address complex business problems in risk adjustment, analyze healthcare datasets, and collaborate with stakeholders to ensure successful model implementation.

The Associate Principal Program Delivery Manager will oversee complex OEM partner implementations, drive strategic initiatives, enhance program governance, and mentor PMO team members.