Top Machine Learning Engineer Jobs in Los Angeles, CA

As a Machine Learning Engineer, you'll build and deploy ML models for banking, support data science efforts, and engage with product teams.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning pipelines, conduct deep analyses, and mentor team members while driving innovation in clinician workflows.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

The ML Engineer will enhance AI systems for healthcare applications, collaborating with multidisciplinary teams and developing machine learning models and evaluations.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.

The Senior Data/ML Engineer will design and maintain data products, build scalable data pipelines, and collaborate with teams to enhance business intelligence.

The Senior Staff Machine Learning Scientist will develop AI-powered products, build ML models and pipelines at scale, and lead the applied science team in an agile environment.

The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.

The Staff Machine Learning Engineer will lead the design of ML systems, guide teams, and enhance detection capabilities in a high-impact security environment.

As a Senior Data/ML Engineer, you'll design and improve data retrieval and ranking pipelines for content discovery, running experiments and collaborating cross-functionally.

The role focuses on developing LLM solutions, optimizing ML pipelines, advising data teams on architecture and tooling, and collaborating cross-functionally.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

The Senior Machine Learning Engineer will enhance AI systems for patient and physician features, evaluate ML models, and mentor junior engineers.

Design and optimize data pipelines and infrastructure for advanced analytics and machine learning solutions, collaborating with various teams to ensure efficient data flows.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.