Top Natural Language Processing Jobs in Boston, MA

Design, build, and productionize agentic AI systems including LLM orchestration, retrieval, and evaluation. Work across the ML lifecycle from experimentation to deployment and monitoring, leverage proprietary structured and unstructured financial data, and collaborate with data, product, design, and MLOps teams to deliver scalable, robust agentic solutions.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

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.

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.

Build and ship full-stack features for customer-facing Console and Playground, plus internal tools. Design and maintain APIs and backend services, implement accessible performant frontends, translate product requirements into incremental work, and improve code quality through reviews and design discussions.

Build and ship polished, accessible, high-performance front-end features for Deepgram's Console and Playground. Partner with product and design to translate ideas into incremental releases, improve internal tools, and uphold front-end engineering standards through code reviews and design discussions.

Senior HR Business Partner supporting a remote-first, high-growth AI company. Advise leaders on employee relations, performance management, manager coaching, organizational change, compensation cycles, immigration/work authorization, and scalable people processes. Partner cross-functionally with Legal, People Ops, Finance, and Recruiting to ensure compliance and operational effectiveness while building HRBP playbooks and improving manager capability.

The Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

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

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.

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.

Own and operate Anthropic's endpoint platform: manage MDM as a production service, author configuration-as-code, build zero-touch provisioning and patching automation, run fleet software distribution and telemetry, partner on endpoint security and compliance, and serve as deep escalation for endpoint issues.

Lead end-to-end delivery of custom AI agent solutions for enterprise customers: scope SOWs, run technical discovery, manage engineering execution, stakeholder communications, ROI measurement, compliance navigation, and codify reusable delivery playbooks. Travel to customer sites (25–50%) and liaise with product and research teams to scale deployment patterns.