Top Natural Language Processing (NLP) Jobs in Los Angeles, CA

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

As a Prompt Engineer, you'll shape how AI characters express themselves, collaborating with various teams to develop prompts, datasets, and evaluation frameworks. You'll manage both immediate product needs and long-term goals, ensuring bots engage users effectively through storytelling and interaction.

Lead end-to-end development of an AI platform that automates customer interactions using LLMs, agents, APIs and human-in-the-loop feedback. Define prompt strategies, evaluation frameworks, guardrails, and metrics; partner with engineers and OpenAI to deploy voice and automation models; drive experiments to improve quality, satisfaction, and automation rates.

Lead strategy and implementation of AI-assisted caselaw content collection, conversion, enhancement, and global deployment; define standards, guide model development, measure performance, and drive cross-functional adoption.

The AI Engineer will develop AI and machine learning models, analyze data, build NLP applications, and collaborate across teams on scalable solutions.

As a Sr AI Enterprise Engineer, you'll design and deploy intelligent systems using large language models, build conversational agents, and support teams in AI enablement while driving collaboration and innovation across the company.

The Senior Data Scientist will research and deploy Large Language Models for social media content understanding, handling extensive data and optimizing inference processes.

The Sr Data Scientist will lead the design and implementation of advanced NLP and machine learning models for content understanding across Disney+, Hulu, and ESPN+. Responsibilities include model development, collaboration with stakeholders, and optimizing workflows in production environments.

The Senior Applied AI/ML Scientist will architect and implement AI modeling efforts, focusing on fine-tuning large language models, while handling data lifecycle and ensuring model reliability in production.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.