Top Natural Language Processing (NLP) Jobs in Chicago, IL

The Staff AI Software Engineer will own the full AI systems lifecycle, from model development to production deployment, focusing on NLP and generative AI solutions, while collaborating with cross-functional teams to optimize and drive solutions.

Lead the design and delivery of scalable voice and chat solutions using Amazon Connect, focusing on integrations, reliability, and performance optimization.

Lead design, development, and productionization of ML and LLM/NLP systems. Own feature engineering, model evaluation, monitoring, and bias analysis. Partner with Product and Engineering to drive operational impact and act as senior technical owner and reviewer for data science work.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.

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.

Design, train, and implement domain-specific LLMs for automation in restoration companies. Collaborate with teams, coordinate AI engineering, and ensure model reliability.

As an AI Engineer, you will develop AI capabilities for contract management, including model tuning, natural language processing, and robust system design, collaborating with teams to enhance legal workflows.

Design and build AI agent systems, focusing on LLM applications and autonomous workflows. Requires expertise in AI integration and Python development.

Assist in designing high quality AI conversation models for customer contact centers. Collaborate with teams to build solutions that meet business objectives and maintain AI model quality.