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

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

Lead design and implementation of conversational and agentic AI solutions for clients, building voice and natural language interfaces, prototypes, and responsive web front-ends. Conduct user research and usability testing, collaborate with cross-functional teams to integrate AI platforms (Dialogflow, Amazon Lex, Azure OpenAI, AWS Bedrock), and apply human-centered design to optimize contact center workflows and customer experiences.

Lead development and implementation of AI-powered contact center and conversational solutions. Guide cross-functional teams to design natural language interfaces using Dialogflow and Amazon Lex, prototype UIs with Figma, conduct usability testing and user research, validate data integrity and security, build stakeholder relationships, and coach teams to deliver high-quality, client-aligned AI products.

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.

Own and evolve revenue calibration models tying CX interactions to revenue, design causal inference and experimentation frameworks, build LLM-powered classification/NLP pipelines, productionize models with Analytics Engineers, define segmentation and behavioral signals, and ensure statistical rigor for executive reporting and regulatory defensibility.

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

The AI Chatbot Developer will create and manage intelligent chatbots, focusing on user interaction and system integration while monitoring performance.

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.

Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.

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.

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.