Top Natural Language Processing Jobs in Boston, MA

Provides technical leadership for pharmaceutical plant utility and environmental systems, including HVAC, chillers, steam, cooling towers, controls, and process utilities. Designs systems, performs engineering calculations, develops drawings and specifications, and supports construction, commissioning, maintenance, and troubleshooting. Leads projects, coordinates stakeholders, manages resources, improves preventive maintenance, conducts failure analysis, and ensures compliance with cGMP, OSHA, safety, and regulatory requirements.

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.

Lead top-of-funnel and brand advertising strategy, budgets, media planning, agency relationships, creative execution, and measurement across Grammarly and Superhuman’s multi-brand portfolio. Manage TV, CTV, OOH, digital video, influencer, and audio investments; partner with data science on incrementality and brand lift; develop strategic frameworks; and lead, mentor, and grow a team of brand advertising marketers.

Own technical go-to-market enablement for pre-sales and post-sales teams. Build onboarding, ramp programs, technical frameworks, playbooks, certifications, launch readiness, and scalable guidance from subject-matter expertise. Partner with Product, Applied Engineering, Customer Success, Sales, and PMM to improve technical discovery, evaluations, architecture guidance, handoffs, escalations, and customer readiness. Use AI, scripts, agents, and workflows to eliminate recurring work and scale enablement.

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 the full enterprise sales cycle from prospecting through close, targeting complex organizations and senior stakeholders such as CISOs, CIOs, and General Counsels. Develop strategic account plans, generate outbound pipeline, demonstrate forensic watermarking technology, exceed revenue quotas, and provide market feedback to product teams while helping shape the company's sales playbook.