Top Machine Learning Jobs in Los Angeles, CA
The Security Governance Partner for Cash App Machine Learning and Data Science works to drive security enablement by collaborating with various teams, automating governance functions, and developing security standards. This role involves interpreting and communicating security constraints, monitoring changes in security laws and regulations, and contributing to technical design discussions.
Build cloud-based AI/ML solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with team to produce quality software and deliver high-quality solutions. Requires a Bachelor's degree and 3+ years of experience in Java.
Design, implement, and scale critical machine learning components and services to support strategic initiatives at Snap Inc. Responsibilities include building a next-generation training framework, optimizing training performance, developing an AutoML platform, collaborating with teams, advocating for best practices, and providing technical direction.
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The Machine Learning Senior Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, and implementing ML Ops. They will collaborate with client teams and global development team to successfully deliver projects and contribute to researching and evaluating the latest architecture patterns and technologies.
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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.
Lead Machine Learning Engineer responsible for developing prediction and optimization engines for data platforms at Disney Entertainment & ESPN Technology. Drive innovation, develop novel solutions, and collaborate with cross-functional teams. Mentor team members and guide technical development.
Designs, develops, and programs methods, processes, and systems to analyze and generate insights from big data sources. Works with product and service teams to identify questions and issues for data analysis. Develops software programs and algorithms to evaluate large datasets. Interprets and communicates insights and findings to managers.
As an ML Ops and Data Engineer, you will optimize the performance of our robotic systems by integrating machine learning models, data pipelines, and operational processes. You will collaborate with software development, machine learning, and robotics teams to ensure seamless maintenance of our data pipeline and deployment of AI systems.
Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, machine learning models, personalization services, and data products/services for a healthcare marketplace. Collaborates with data scientists, mentors junior engineers, and addresses technical challenges for product development.
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