Top Natural Language Processing Jobs in Boston, MA

Leads engineering teams building scalable, cloud-native AI-enabled marketing platforms. Defines platform vision, architects real-time data and decisioning systems, establishes integration and reliability standards, and oversees end-to-end delivery, deployment, and adoption. Partners with Product, Data, Marketing, AI/ML, CRM, media, and external technical teams while mentoring engineers and communicating with executives. The role emphasizes reusable data capabilities, automated marketing workflows, CI/CD, system security, availability, and measurable business outcomes.

Lead the design of biotherapeutics using AI/ML methods. Collaborate with teams to implement workflows, optimize antibody engineering, and analyze large biological datasets.

As a Backend Software Engineer II, you will design and develop APIs, collaborate with teams, and enhance the software lifecycle. You will work with stakeholders to shape system architecture and improve overall software performance.

Responsible for designing and implementing training programs for Sales and Customer Success teams, improving performance through metrics, and collaborating with departments for training needs.

Perform Bayesian and probabilistic modeling, test and evaluate ML/AI systems, analyze complex datasets, develop algorithms, and transition solutions into software and real-time embedded systems for national security customers. Communicate results and propose technical paths forward.

Design, develop, and maintain scalable C++ and Python software for hardware-software interfaces and real-time systems. Interface with sensors, cameras, GPS, radios, and microcontrollers. Participate in design and code reviews, use containerization (Docker/Kubernetes), follow Agile practices, collaborate across teams, and contribute to modular, maintainable codebases supporting DoD customers.

Own adoption, retention, and expansion across a pooled portfolio of scaled customers through digital-first programs. Provide technical API integration guidance, troubleshoot issues, run demos, and create reusable enablement assets. Design automated customer journeys, webinars, self-service resources, and workflows that accelerate activation. Monitor usage and health data, identify expansion opportunities, report KPIs, and build scalable systems that reduce recurring manual work.

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

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.

Manage, coach, and develop a team of 10–12 BDRs to hit activity, pipeline, and quota targets. Build and standardize BDR motions with Marketing and Sales, own hiring/onboarding/ramp, report performance, and partner cross-functionally to translate field insights into campaigns. Drive data-informed coaching and performance management to generate pipeline and revenue.

The Enterprise Account Executive will drive sales and expansion within the Enterprise segment, focusing on large accounts. Responsibilities include managing the full sales cycle, building executive relationships, navigating complex deal cycles, and collaborating with cross-functional teams to establish a foundation for future sales processes.

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.

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.

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

Audit and improve human and model-generated data outputs for accuracy, consistency, and policy compliance. Provide actionable feedback, clarify evolving guidelines, support annotators, coach new team members, monitor workflows and blockers, identify recurring issues and edge cases, participate in calibration discussions, and document findings to improve team performance and quality at scale.

Reviews and audits Simplified and Traditional Chinese AI annotation work for linguistic accuracy, consistency, and guideline compliance. Identifies recurring errors, provides feedback, escalates complex cases, supports calibration, and completes quality reviews within deadlines. The role requires strong Chinese and English proficiency, attention to detail, analytical thinking, and independent execution in a structured human-in-the-loop AI environment.