Top Machine Learning Jobs in Los Angeles, CA
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead projects, maintain high code quality, collaborate with teams, solve technical problems, and mentor engineers.
Lead and grow a team of machine learning engineers, drive technical roadmap, develop cutting-edge solutions, collaborate with cross-functional teams, and create products used by millions of Snapchatters.
Seeking a talented Machine Learning Engineer to join a leading online advertising agency in Los Angeles, focusing on innovative advertising technology. Responsibilities include designing data science programs, machine learning models, and architecture to support Generative AI. Must have practical experience with large datasets in web lead generation, search engine marketing, and cloud computing domains.
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Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products in Cash App, optimize decisioning pipeline, experiment with various modeling techniques, partner cross-functionally with finance, product, and engineering teams.
Lead a team of engineers to build one of Dropbox’s newest AI offerings, Dash. Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility. Provide strategic direction and contribute to technical and product strategies.
The Applied AI Scientist at ZS will be responsible for developing advanced algorithms, executing statistical techniques on large data sets, evaluating emerging datasets and technologies, and contributing to thought leadership. The role requires expertise in Python, Pyspark, and machine learning algorithms, along with strong communication, critical thinking, and problem-solving skills.
ML Engineers at Disney are the insights and modeling partners for the growth, content, marketing, product, and engineering teams at Disney, Hulu and ESPN+
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Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning, implement production-ready pipelines, optimize prediction performance, and more.
Seeking a Senior Machine Learning Engineer to drive product strategy forward by leveraging in-house code and data frameworks, developing scalable algorithms, and collaborating with cross-functional teams to enhance ML systems.
Build cloud-based GenAI/ML solutions for enterprise services, oversee strategy for improvements, collaborate with a team of scientists and engineers, and drive data acquisition and evaluation metrics for software quality.
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