Top Natural Language Processing Jobs in Boston, MA

The Accounting Manager will oversee financial statement preparation, lead audits, supervise accounting staff, maintain internal controls, and manage the accounting function while collaborating with finance leadership.

Drive development of AI-powered applications, ensuring performance and security. Mentor engineers and solve technical challenges in healthcare solutions.

The Staff Frontend Engineer will develop AI-driven web applications, mentor developers, ensure high performance, scalability, and advocate for best practices in a collaborative agile team.

The Customer Success Manager builds customer relationships and ensures successful adoption of Dataminr's tactical and strategic alerting solutions, collecting feedback for product development and driving customer outcomes.

The Sr. AI Engineer will develop explainable AI systems, optimize models, and collaborate with various teams to create innovative AI solutions in life sciences.

The AI Engineer will design, build, and train AI services for complex data in life sciences, focusing on explainable AI and collaboration with various teams.

The role involves leading a product engineering team to build a scalable low-code platform, focusing on API architecture, mentoring engineers, and collaborating with product managers.

The Senior Full Stack Engineer will architect, develop, and enhance a low-code platform, focusing on backend services in Python and frontend interfaces in React, while mentoring junior engineers and optimizing system performance.

The AI/ML Engineer will develop and optimize AI models for US government clients, ensuring security and compliance with federal standards, while leading cloud and on-premises deployments.

The Sales Engineer will deliver product demos, lead evaluations, work with engineering for product improvements, and explain complex AI concepts to clients.

The PM will define the roadmap for AI workflows, build prototypes, gather customer feedback, and collaborate across teams to ensure product success.

The Customer Success Manager at ASAPP will manage enterprise accounts, ensuring clients realize value from AI solutions, drive adoption, and maintain relationships.

The Applications Developer builds and maintains voice and web applications, translating client needs into specifications while supporting the full application lifecycle and ensuring quality through testing.