Top Natural Language Processing Jobs in Boston, MA

Mid-level ML Engineer responsible for end-to-end ML lifecycle for agentic AI: designing and deploying LLM orchestration, retrieval and evaluation systems, working with structured and unstructured financial data, and collaborating with product, data, and MLOps teams to productionize scalable, monitored solutions.

The Customer Training Specialist will ensure smooth client onboarding and transition, conduct trainings, gather feedback, and enhance user experiences with products.

Lead day-to-day accounting operations including payroll, AP/AR, fixed assets, reconciliations, and equity accounting. Prepare journal entries, month-end close, financial statements per U.S. GAAP, cash flow reports, budgets/forecasts, and audit support. Improve controls and processes while maintaining clear documentation and supporting stakeholders across the organization.

Lead enterprise commercial enablement for PC1: own proposal/SOW strategy, Salesforce and SFMC platform ownership, sprint-driven product delivery, AI enablement, digital budget management, and cross-functional digital project leadership to drive scalable commercial and marketing outcomes.

Own the end-to-end product experience for AI coding agents integrating Deepgram: discovery, integration/onboarding, production use, verification, and feedback systems. Build measurement, experimentation, and optimization systems; define agent-specific developer platform requirements and prototype changes; turn agent traffic into rapid product improvements and run cross-functional execution.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.

Own and grow Smartling’s social presence across LinkedIn, Instagram, Facebook, X, YouTube and emerging platforms. Build channel-specific content calendars, run employee advocacy, adapt long-form assets into native social content, create and brief short-form media, track analytics and iterate, monitor brand mentions, and leverage AI tools to boost efficiency and outcomes.

Lead and scale the enterprise customer success function for Zocks, managing a team of Enterprise CSMs to drive adoption, value realization, renewals and expansion with large RIAs, broker-dealers, banks and financial firms. Build playbooks, metrics, and cross-functional partnerships while personally engaging executive stakeholders to ensure measurable customer outcomes.

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.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

Lead Crunchbase's social and community strategy across platforms: manage editorial calendar, create platform-native content and short-form video, engage online communities (Reddit, G2), monitor trends and performance, and partner cross-functionally to grow brand influence and reputation.