Top Natural Language Processing Jobs in Boston, MA

Leads reporting, analytics, and optimization across Pfizer’s promotional content delivery ecosystem. Builds and maintains dashboards and report catalogs using Power BI and Adobe platforms, monitors adoption and usage trends, interprets metrics, and delivers actionable recommendations. Manages complex cross-functional projects involving Biopharma Operations, marketing, agencies, and stakeholders. Supports improved content effectiveness, speed to market, service efficiency, and cost optimization while leveraging AI-enabled insights and operating independently in a matrixed environment.

Design, develop, prototype, integrate, and test electronic systems for innovative air vehicle and R&D platforms. Responsibilities include avionics, embedded systems, RF communications, power subsystems, analog and digital circuit design, PCB development, fabrication procedures, troubleshooting, and flight test support. The role requires cross-functional collaboration, hands-on system testing, and expertise in at least one area such as power systems, RF, or embedded control.

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.

Leads SMB and commercial sales strategy, revenue performance, team development, pipeline forecasting, enablement, hiring, and complex enterprise deals. Partners with Product, Marketing, Customer Success, and executive leadership to scale go-to-market execution, improve sales consistency, and drive customer expansion across a multi-product SaaS environment.

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.

Conduct talent mapping, market research, proactive sourcing, and pipeline development across technical, business, and leadership roles. Partner with recruiters and hiring managers to define target profiles, identify passive candidates, analyze talent availability and compensation trends, and deliver actionable market intelligence. Build evergreen talent communities, improve research workflows and tools, and adapt quickly to changing hiring priorities.

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.

Develops and maintains prompts, responses, guidelines, and datasets for generative AI and large language model tools. Leads labeling initiatives with internal teams and third-party firms, trains stakeholders on LLM and dataset best practices, and supports quality assurance and testing. Requires native-level English, bilingual ability in a specified language, specialized domain knowledge, and a college degree or equivalent experience.

Leads an independent quality and research-partnership function supporting crowd-based AI training data operations. Oversees onsite Site Program Leads, maintains separation from delivery teams, partners directly with research stakeholders, translates research needs into crowd data projects, and supports project stand-up. Owns capacity planning, utilization, governance, talent pipelines, escalation protocols, and client engagement while serving as a senior individual contributor.