Top Machine Learning Jobs in Los Angeles, CA
Lead a team of machine learning engineers, data scientists, and software engineers to develop and optimize systems for conducting lift measurement and incrementality optimization. Define system architecture for scalability, performance, and reliability. Drive innovation in experimental design and advocate for best practices in causal inference across the organization. Collaborate with cross-functional teams and translate complex data insights into strategic recommendations.
Seeking a seasoned Director for the Machine Learning Center to drive machine learning initiatives and deliver business outcomes. Responsible for leading a team of engineers, integrating ML capabilities into software applications, and ensuring projects are delivered on time and within budget. Must have strong leadership skills and expertise in machine learning applications.
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.
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Develop machine learning models to predict important process parameters in smart manufacturing systems. Collaborate with the engineering team and deploy models to optimize production processes. Requires expertise in Python, machine learning algorithms, data cleaning, and software development in an agile environment.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
Senior Machine Learning Software Engineer at Dropbox responsible for designing, building, evaluating, deploying, and iterating on large scale Machine Learning systems. Collaborate with cross-functional teams to personalize user experiences and contribute to technical strategy for machine learning lifecycle.
Looking for a Computer Vision/Machine Learning Engineer to apply the latest research to solve real-world problems. Responsibilities include proposing innovative solutions, curating datasets, developing and maintaining ML pipelines, training and deploying deep learning models.
Looking for a Threat Analyst with experience in reverse engineering malware, analyzing binary files, and managing threat detections. Must have knowledge of programming languages and operating systems.
The Aerospace Corporation is hiring a Signal Processing Artificial Intelligence and Machine Learning Engineer for the Communication Software Implementation Department in El Segundo, CA. The job involves implementing new algorithms, building hardware prototypes, and designing non-traditional transceivers using machine learning techniques.
Seeking a Senior Machine Learning Engineer to leverage AI and build impactful tools for the company's platform, focusing on engineering velocity. Responsibilities include developing scalable AI solutions, improving productivity, collaborating across teams, and leading AI innovation. Requires 5+ years of experience in ML models and modern ML techniques.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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