Top Natural Language Processing Jobs in Boston, MA

Lead architecture and engineering of cloud-based HPC platforms (AWS/GCP). Define technologies and standards, drive IaC (Terraform/CloudFormation), OS image and scheduler work, optimize performance/cost/security, implement monitoring/observability, and mentor engineers to deliver scalable, reliable HPC and ML/AI workloads.

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.

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, implement, and optimize computer-vision and multimodal ML algorithms; acquire and manage truth data; run experiments and rigorous evaluations; use MLOps tools for reproducibility; integrate and transition models to production (cloud, on‑prem, or embedded); track research advancements and analyze field-test data.

Drive go-to-market strategy and adoption for Kensho AI products by bridging technical AI capabilities and commercial teams. Lead customer demos, technical deep-dives, co-development partnerships, market analysis, and sales enablement while feeding product and strategy teams with market insights to expand revenue and partnerships.

Generate new sales pipeline by prospecting property management leads via cold/warm calls, email, and social outbound campaigns. Qualify leads, book meetings for Account Executives, manage pipeline toward targets, and use tools like Salesforce, Outreach.io, Sales Navigator, LinkedIn, and ZoomInfo. Work in-office and collaborate across teams to iterate on outreach and sales processes.

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.

Own and maintain lifecycle marketing systems: administer Hightouch reverse ETL, monitor syncs and pipeline health, triage martech issues, partner with engineering and marketing on implementations, document configurations, manage access and governance, support audience segmentation and QA, and identify automation opportunities while building solutions with AI.

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.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

Respond to and qualify high-volume inbound leads, prioritize and nurture prospects, hand off qualified opportunities to Account Executives, partner with Marketing/Sales Ops/Sales Engineers, identify speech-recognition use cases, articulate Deepgram's value proposition, and help build a pipeline to meet quarterly sales targets.

Own and grow Smartling’s social presence across LinkedIn, Instagram, Facebook, X, YouTube and emerging platforms. Build channel-specific content calendars, run employee advocacy, adapt long-form assets into native social content, create and brief short-form media, track analytics and iterate, monitor brand mentions, and leverage AI tools to boost efficiency and outcomes.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

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.