Top Natural Language Processing (NLP) Jobs in Boston, MA

Lead the design, development, and deployment of AI-driven products focusing on large language model optimization and integration. Collaborate with cross-functional teams to enhance Capital One's AI capabilities.

As a Senior Delivery Acceleration AI Engineer, you will design and optimize AI-driven solutions for customer implementations, focusing on large language models and prompt engineering. You will collaborate with various teams to improve delivery efficiency and quality while ensuring AI solutions align with professional services workflows.

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 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 Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

Lead the implementation of advanced NLP solutions, develop AI/ML applications, oversee model training and evaluation, and collaborate across teams.

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.

Hiring summer interns for AI Engineer, Machine Learning, AI Product Management, and Software Engineering roles to work on AI agents, voice automation, and workflow automation across insurance sales, servicing, and claims.

The role involves architecting and building scalable AI solutions, including orchestrating workflows, developing Text-to-SQL agents, and maintaining automated evaluations within a life sciences context.

As a Research Engineer/Scientist, advance large-scale language model technologies focusing on pre-training, post-training, and Reinforcement Learning, while collaborating with product managers and engineers to implement impactful AI solutions.