Top Machine Learning Jobs in Los Angeles, CA
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution
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.
Senior Manager role at ServiceNow leading and overseeing ML projects, strategic planning, and collaborating cross-functionally in the AI Services team.
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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.
Seeking a Principal Machine Learning Engineer to shape Machine Learning agenda for new initiatives at Dropbox. Responsibilities include developing high-impact ML solutions, working with machine learning experts, building products for millions, and crafting direction of ML/AI at Dropbox.
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.
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.
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.
As a Principal ML Engineer at Disney Entertainment & ESPN Technology, you will partner with teams to develop machine learning models for personalization, fraud detection, and more. Responsibilities include data modeling, visualization, analysis, and collaboration with stakeholders. Impact Disney+, Hulu, and ESPN.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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