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.

Lead optimization and experimentation for Pfizer's HCP web properties (primarily PfizerPro). Develop experimentation roadmaps, run A/B and multivariate tests, analyze web and business metrics, partner with UX, analytics, and strategy to translate insights into product and design improvements, and adopt AI-enabled tools to scale personalization and accelerate test velocity while maintaining rigorous measurement.

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.

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.