Top Natural Language Processing Jobs in Boston, MA

Provide Tier 1/2 support across MacOS, Windows, and Linux; onboard employees; troubleshoot desktops, servers, and networks; assist with cybersecurity architecture, vulnerability scanning, incident response, audits, and compliance documentation.

As an AI Data Engineer, you will develop full stack applications integrating AI capabilities to support pharmaceutical research, enhancing workflows and productivity. Responsibilities include collaborating with researchers, developing scalable backend services, and deploying systems in AWS.

The Technical Account Executive will lead the sales lifecycle for EliseAI's CRM in housing, managing technical discovery, solution design, and commercial execution with a focus on customer needs and multi-stakeholder organizations.

As a Senior Full-Stack Software Engineer, you will build AI-centric web applications in TypeScript, manage project priorities, and make technology decisions while collaborating with Product and Design teams.

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

Lead a small team to define and execute website content strategy across multiple product sites, drive content roadmaps and operational excellence, partner with cross-functional stakeholders, and contribute hands-on to high-priority content. Scale content production using CMS, AI-assisted workflows, freelancers, and strong quality-control processes to support acquisition, conversion, and product storytelling.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

As a Principal Software Engineer, you will design and maintain scalable data pipelines, drive architectural improvements, and ensure reliability while collaborating across teams.