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

The Senior Machine Learning Engineer will develop, deploy, and optimize large language models on healthcare data, collaborate with teams, and ensure compliance.

Develop and optimize medical large language models, collaborate with interdisciplinary teams, and maintain state-of-the-art machine learning techniques to enhance medical education and clinical decision support.

Implement and maintain record-matching and text-analytics components, translate linguistic theory into production features, optimize search internals (Elasticsearch), collaborate in agile sprints, and help design scalable APIs and architectures to improve record-matching quality and reliability.

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

The Senior Data Scientist in Conversational AI & NLU designs and optimizes AI solutions, evaluates models, collaborates with stakeholders, and analyzes conversational data to improve user experience.

The role involves researching and developing training strategies for large language models, focusing on their applications in scientific reasoning and performance evaluation.

Develop intent-recognition models from gaze, gesture, and voice data; implement socially aware navigation algorithms respecting personal space; and design visual and auditory feedback for robot user interfaces. Conduct user studies and rapid prototype AI-driven voice and visual interaction systems to test and refine HRI paradigms.

Lead advanced analytics initiatives using SQL, Python, R, NLP/ML and Elasticsearch to generate insights for customer experience. Build automated analytics, manage Elasticsearch indexes, create visualizations in Kibana/Tableau, oversee reporting cycles, mentor junior staff, manage projects, and integrate data across Snowflake, AWS, and Oracle to support business decisions.

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.

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