Top Machine Learning Jobs in Los Angeles, CA
Join Square as a Senior Machine Learning Engineer specializing in modeling and measurement. Develop cutting-edge ML models and algorithms to provide strategic insights for growth. Collaborate with various stakeholders and partners to enhance Square's measurement system and make data-driven decisions.
GoodRx is seeking an experienced Senior Machine Learning Engineer to drive our machine learning efforts and maximize the value of our platform. The ideal candidate should have practical hands-on expertise in data analytics, building data services and products, and strong knowledge of various machine learning models. They will contribute to the development and implementation of analytical capabilities, manage machine learning pipelines, and work with data scientists and analysts to translate prototypes to production deployment.
Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for company-wide metrics and GTM attribution. Partner with stakeholders to refine growth strategy and inform investment decisions with data.
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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.
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.
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