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.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

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.

Field-based neuroscience sales role responsible for driving territory sales, building HCP relationships (in-person and virtual), executing territory call plans, using analytics to identify opportunities, educating providers on product and disease-state information, collaborating cross-functionally, and completing administrative duties compliantly.

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.

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.

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 Supply Chain Specialist role involves participating in warehouse rotations, optimizing inventory processes, learning WMS, and supporting collaborative operations between teams.

Develop key enabling tools, streamline processes, create reporting, and optimize sales processes within the international revenue organization to drive productivity.

The role involves building robust software solutions, mentoring engineers, analyzing business problems, and contributing to technical strategy in a collaborative environment.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

The Sales Development Representative will generate leads through prospecting, engage senior leaders, maintain CRM records, and exceed sales targets while collaborating with sales and marketing teams.