Top Natural Language Processing Jobs in Boston, MA

As a Frontend Software Engineer, design, develop, and deploy web applications, collaborate with UX engineers, and implement user-friendly interfaces.

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.

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 a portfolio of Superhuman Docs accounts to drive adoption, retention, and expansion. Act as a trusted advisor, run account reviews, build feedback loops to inform product roadmap, design change management and enablement programs, and collaborate cross-functionally to deliver customer value and identify upsell opportunities.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

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.

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.

Lead product vision and roadmap for search, analysis views, and Intelligence Cards. Partner with engineering, design, and data science to integrate AI, improve search/query UX, and deliver trustworthy, fast analytics for security analysts. Use quantitative and qualitative research to prioritize and measure impact.

Own the end-to-end lifecycle of LLM-powered agents and MCP tools: design, build, evaluate, test with customers, and deploy. Write and maintain evals, refine tool descriptions, analyze usage, track performance metrics, prioritize roadmap, and work hands-on in GitHub with engineering, intelligence, and design teams to ship reliable, safe agent/tool integrations.