Machine Learning Jobs in Torrance, 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 role involves managing timelines, tracking goals, risk management, resource allocation, and cross-functional collaboration within the manufacturing team for the Terran R rocket.

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 Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

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.

The Director of Data & AI will lead the development of scalable data architectures and AI initiatives to enhance operational efficiencies and automate processes for space missions.

Oversee assembly operations, implement process improvements, and collaborate with engineering and production teams to optimize manufacturing of rockets.

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

The Technical Business Systems Analyst will bridge the gap between business and IT by documenting requirements, analyzing processes, and optimizing systems using AI or automation to enhance efficiency and compliance.

The role focuses on improving safety, quality, productivity, and ergonomics within manufacturing, utilizing data analysis and Lean Six Sigma methodologies. Responsibilities include operational design, metrics development, and system enhancements.

Support development of test processes for mechanisms, driving assembly tests and collaborating with teams for efficient production and troubleshooting.

You will manage the mechanized subassembly of the Terran R vehicle, ensuring quality and efficiency throughout the assembly and testing processes.

The Production Manager of Mechanisms oversees the Terran R vehicle manufacturing processes, ensuring quality, safety, and timely delivery while developing scalable operations.

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.