Top Natural Language Processing Jobs in Boston, MA

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.

Provide comprehensive administrative support to PhRD management and leadership in Andover, MA. Manage complex calendars, meeting logistics, travel and expense reporting, onboarding/offboarding, office equipment and facilities coordination, and confidential meeting notes. Serve as liaison across sites, support events, submit IT/facilities tickets, and lead special administrative projects.

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.

The Electrical Engineer will design and develop electronic systems, collaborate on integration tasks, and troubleshoot complex systems for air vehicle systems.

This role involves using investment banking expertise to develop generative AI tools for financial modeling and transaction analysis, including valuation, financial modeling, and reviewing AI-generated outputs for accuracy.

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.

Lead lifecycle strategy and execution for Superhuman Mail, building 0->1 and scalable programs across onboarding, activation, engagement, cross-sell, retention, and win-back. Establish segmentation, experimentation, and KPI frameworks; design email and in-product messaging; run A/B and holdout tests; and partner cross-functionally with Product, Data, PMM, and Marketing Ops to drive growth.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

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.

The Customer Success Programs Manager will lead programmatic customer success initiatives, focusing on AI-powered customer engagement and measure impact through data. Responsibilities include building programs, running live engagements, and collaborating across teams to enhance effectiveness and drive customer outcomes.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.