Top Machine Learning Jobs in Los Angeles, CA

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

Lead development of machine learning algorithms for ad platform optimization, analyzing datasets, deploying models, and collaborating with teams to improve KPIs.

The Principal Machine Learning Engineer at Workiva leads ML initiatives, architects scalable systems, mentors teams, and drives the adoption of ML methodologies, while ensuring production readiness and sustainability.

Build and improve ad-serving products, develop custom data science solutions, apply advanced techniques in machine learning, and conduct scientific analysis.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

Lead the development of machine learning models for paid search marketing, focusing on causal measurement and real-time bidding strategies, while mentoring teams and collaborating across functions.

Develop, deploy, and enhance machine learning models and services for Netflix's ad platform to optimize ad personalization and scalability, collaborating with cross-functional teams to drive business impact.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

The role involves developing AI-driven applications using LLMs and CNNs, building scalable backend systems, and optimizing data engineering processes. It requires collaboration with cross-functional teams and continuous innovation in AI technologies.