Top Hybrid Machine Learning Jobs in Los Angeles, CA
Senior Machine Learning Engineer responsible for creating personalized content recommendations for anime fans worldwide. Design and develop scalable recommendation system architectures, preprocess data, train ML models, measure effectiveness, and ensure operational excellence. Requires 5+ years of experience in recommendation systems, proficiency in Python, and familiarity with TensorFlow, PyTorch, GPU optimization, and cloud computing platforms.
Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong understanding of machine learning approaches and algorithms is required.
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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Design, build and enhance batch and real-time inference services and tooling to support ML use cases. Facilitate modelers by providing necessary infrastructure/tools. Partner with ML modelers to encourage adoption of new tools and technologies.
Top hybrid Companies in Los Angeles, CA Hiring Data + Analytics Roles
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