Top Natural Language Processing Jobs in Boston, MA

Executive leader responsible for defining Pfizer’s applied AI strategy and target architecture across commercial, data, platform, application, and workflow environments. Establishes AI standards, governance, technical decision frameworks, reusable architecture patterns, and responsible AI practices. Provides technical oversight for strategic transformation initiatives, influences senior stakeholders across a matrixed organization, and builds a team of applied AI architects and technical experts. Requires deep expertise in generative AI, agentic systems, machine learning, enterprise architecture, and regulated environments.

Lead technical vision and execution for autonomy and APNT solutions on unmanned aerial systems. Guide programs from research and development through flight testing and fielding, oversee multidisciplinary engineering teams, manage schedules and budgets, support systems integration, engage customers and partners, and identify new business opportunities. Provide technical oversight while driving successful delivery of mission-critical aerospace software and systems.

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.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Senior Designer responsible for developing high-impact brand and marketing creative across event branding, environmental design, presentations, campaigns, and production assets. The role involves driving projects from brief to delivery, collaborating cross-functionally, maintaining design systems and brand guidelines, using data to inform decisions, and applying AI tools to accelerate creative exploration and production.

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.

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.

Leads a global strategic sales team serving corporate personas across the largest Financial Services clients. Owns account strategy, pipeline development, forecasting, revenue targets, client relationships, cross-functional collaboration, and corporate deal execution. Partners with Customer Success, Marketing, Product Specialists, Sales Development, Product Management, and Content teams to expand adoption, improve client outcomes, and grow AlphaSense's corporate client footprint. Regular client travel is required.