Top Senior Machine Learning Jobs in Los Angeles, CA

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools and systems for compliance and risk management.

Lead the strategy and delivery of an AI-native platform for internal tools and compliance. Collaborate cross-functionally to enhance scalability and efficiency.

The Principal Product Manager will lead the strategy and delivery of an AI-native compliance platform, overseeing product development and working cross-functionally with various teams.

Lead the strategy and delivery of an AI-native platform, overseeing internal tools and compliance programs for Circle.

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.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.

Lead the strategy and delivery of an AI-native platform, transforming Circle's internal tools and compliance systems while collaborating cross-functionally.

As a Senior Software Engineer on the Data Platform team, you'll design and operate data services, maintain scalable ingestion pipelines, and collaborate on data governance, ensuring reliability and performance of critical data systems.

As a Senior Software Engineer, you will develop and maintain data platform services, ingestion pipelines, and collaborate across teams to ensure data reliability and quality.

You will own and evolve the core Data/ML platform, build data pipelines, monitor data flows, and collaborate with various teams to deliver solutions.

As a Senior Software Engineer in the Data Platform team, you will design and maintain data systems, implement pipelines, ensure data quality, and collaborate across teams to enhance data governance and platform operations.

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

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

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

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

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

Lead growth marketing efforts by leveraging AI for worker acquisition and retention, utilizing data science to optimize strategies, manage campaigns, and conduct performance reporting.

As Product Lead for Engagement, you will define strategies to increase seller engagement, optimize usage of products, and collaborate across teams to enhance seller experiences.

Lead initiatives to enhance dispute resolution and scam protection for Cash App users, ensuring compliance and improving customer trust.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

The Sr. Channel Manager will drive revenue and partnership growth, strategize with key partners, and foster collaboration across the organization. Responsibilities include pipeline generation, tactical execution, and motivating sales teams to achieve goals.

Design and develop machine learning models for automation in production-scale metal 3D printing, integrating data science with physics-based models.

Lead and scale Jerry's core insurance business strategy, focusing on quoting engine and carrier performance. Collaborate across teams to enhance user experience and achieve growth targets.