Top Natural Language Processing Jobs in Denver & Boulder, CO

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Lead the operational accounting function as Deepgram scales toward IPO, overseeing monthly close, ERP migration, and the development of accounting policies and controls.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

Lead a small team to define and execute website content strategy across multiple product sites, drive content roadmaps and operational excellence, partner with cross-functional stakeholders, and contribute hands-on to high-priority content. Scale content production using CMS, AI-assisted workflows, freelancers, and strong quality-control processes to support acquisition, conversion, and product storytelling.

Lead post-launch lifecycle, adoption, stabilization and continuous optimization of the CFC CRM platform across global markets. Own BAU roadmap, operational governance, integrations, release readiness, value measurement, and cross-functional orchestration with Data, Digital, Compliance, and Markets to ensure CRM delivers sustained commercial value and scalability.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

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

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 Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

As a Solutions Architect, you will design and optimize customer solutions for deploying LiteLLM, collaborating with customers and engineering teams to ensure successful implementations.