Top Natural Language Processing Jobs in Boston, MA

Lead day-to-day accounting operations including payroll, AP/AR, fixed assets, reconciliations, and equity accounting. Prepare journal entries, month-end close, financial statements per U.S. GAAP, cash flow reports, budgets/forecasts, and audit support. Improve controls and processes while maintaining clear documentation and supporting stakeholders across the organization.

Design, implement, and operate cloud-native HPC and ML/AI infrastructure (AWS/GCP). Lead containerization, IaC (Terraform/CloudFormation), orchestration (Kubernetes/EKS/GKE), monitoring, and migration. Collaborate with HPC specialists to automate deployments, optimize performance, and maintain platform reliability, security, and cost efficiency.

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.

Lead end-to-end design and execution of voice data programs: build ingestion pipelines, labeling specs, tooling, and quality safeguards; align data strategy with research and product; manage vendors and teams; track throughput, quality, and vendor performance; and prototype/deploy data tools to scale datasets that improve speech and voice AI model outcomes.

Own and build the full invoice-to-pay cycle, automate AP with AI, lead month-end AP close and subledger-to-GL tie-out, establish AP analytics, prepare AP for external audit, manage ERP migration and Ramp card program, and handle vendor/tax compliance and reporting.

Design and build scalable, automated evaluation pipelines and infrastructure to validate speech, audio, and multimodal models. Translate research benchmarks into enforceable pass/fail gates, run batch and streaming tests, operate canaries and continuous monitoring, integrate quality gates into CI/CD, and partner with research, training, inference, and infra teams to prevent regressions and ensure production model quality.

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.

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.

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

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.