Top Natural Language Processing (NLP) Jobs in Austin, TX

Develop and maintain applications using MCP and ChatGPT frameworks, optimize AI interactions, and prototype innovative solutions. Collaborate on product architecture with minimal supervision.

Design, optimize, and iterate multi-turn conversational flows for text and voice agents. Craft persona-driven prompts and multilingual templates, test with recordings and simulations, analyze live interactions to reduce hallucinations and improve tone, and collaborate with PMs and engineers to integrate prompts, maintain a versioned prompt library, and ensure compliance and privacy.

Lead end-to-end AI/ML projects: build, deploy, and maintain LLM/NLP and ML models in production. Translate business needs into technical plans, collaborate cross-functionally, apply MLOps and observability best practices, and improve model performance and reliability.

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

The Applied AI Scientist III develops advanced analytics solutions utilizing AI technologies, leading projects in predictive analytics and NLP to enhance healthcare operations and patient care.

As a Principal Scientist, you will guide the machine learning team in developing natural language applications, focusing on automated scoring and feedback systems. You'll contribute to R&D efforts, support innovation in EdTech, mentor team members, and pursue applied research.

The role involves developing NLP systems for medical document analysis using advanced deep learning techniques, collaborating with domain experts, and deploying models in a healthcare setting.

The AI Solution Strategist will bridge technical teams and business stakeholders to define and launch conversational AI agents while managing multiple complex projects and ensuring customer success and engagement.

Record natural, conversational customer-service style speech from a home studio. Submit two audition samples; if selected, complete two supervised ~4-hour remote recording sessions meeting technical audio specs.

The role involves developing and improving TTS/Voice Generation models, training, fine-tuning, evaluating speech models, and collaborating across research, engineering, and product teams in a fast-paced startup environment.