Top Natural Language Processing Jobs in Boston, MA

Lead Agile software teams developing secure full-stack web applications for defense and national security customers. Responsibilities include sprint planning, technical leadership, customer requirements gathering, frontend development with React, backend API development with Python, cloud deployment, containerization with Docker and Kubernetes, and collaboration on scalable, maintainable software systems using DevSecOps practices.

Leads AI horizon scanning and technology intelligence for Pfizer’s U.S. Commercial organization. Evaluates emerging AI technologies, vendors, models, and partnerships; translates findings into commercial opportunities, strategic recommendations, roadmaps, and proofs of value. Oversees innovation portfolio prioritization, responsible AI and enterprise-readiness assessments, executive thought leadership, and cross-functional collaboration across product, data, architecture, governance, and transformation teams.

Build and evaluate machine learning models, agentic systems, LLM applications, and pipeline components under senior-engineer guidance. Interns will gain experience across the ML lifecycle, including problem framing, model selection, development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.

Lead AML/BSA, KYC/KYB, fraud, transaction monitoring, and sanctions compliance programs. Manage banking and financial institution relationships, oversee investigations and UAR/SAR processes, translate regulations into operational controls, coordinate audits and examinations, track regulatory developments, and deliver compliance training. Partner cross-functionally with Legal, Product, Engineering, and Operations to support responsible product growth and regulatory readiness.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Owns product operations across roadmap coordination, new product introduction, launch readiness, partner deliverables, financial and revenue analysis, metrics, executive reporting, and cross-functional planning. The role maintains product commitments, drives accountability, leads launch gates, models business impact, coordinates sales and marketing readiness, and supports leadership decision-making through business reviews, planning, and board materials.

Own SEO and AEO initiatives across multiple domains, driving organic visibility, qualified traffic, conversions, and AI-search presence. Conduct keyword, competitor, technical, and performance analysis; recommend content, metadata, site structure, and structured-data improvements; partner with content, marketing, web, engineering, and analytics teams; support launches and offsite authority efforts; measure search visibility, citations, mentions, and business impact; and communicate actionable findings to stakeholders.

Provide legal counsel across product lifecycle for AI agents and SaaS products, triage and resolve legal issues, advise Product/Design/Engineering/Marketing, manage IP, monitor AI/privacy regulations, build scalable compliance processes, and deliver training.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

Own outbound sourcing strategy across open roles, building passive-candidate pipelines from scratch through Boolean and X-ray search, LinkedIn Recruiter, and personalized outreach. Conduct candidate conversations, evaluate initial fit, and partner with hiring managers and leadership on search strategy. Manage searches end-to-end, adapt sourcing approaches, and represent Zocks to prospective candidates.

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 Anthropic’s endpoint platform, including MDM infrastructure, macOS and mobile configuration as code, patching, zero-touch provisioning, telemetry, compliance controls, and automation. Operate the platform as a production service with observability, incident response, progressive rollouts, and rollback. Partner with Security, developer, and infrastructure teams on endpoint hardening and trusted-device access. Support Linux systems, document platform operations, and provide advanced escalation support.