Top Natural Language Processing Jobs in Seattle, WA

Lead product management for Superhuman's admin console, enhancing the buyer journey and streamlining admin experiences for enterprises, ensuring security and compliance.

The PharmSci Agentic & Generative AI Architect designs and scales AI solutions for Pharmaceutical Sciences, ensuring production-readiness and effective integration with existing platforms. Responsibilities include architectural design, leading pilots, and implementing responsible AI frameworks while mentoring team members.

Develop and maintain cloud-based web applications using modern technologies, collaborate with teams, and ensure secure software delivery processes.

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.

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 Enterprise Account Executive will drive enterprise sales, meet quotas, work with leadership on sales goals, and represent Kustomer as a thought leader in the market.

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 manage full cycle sales for B2B SaaS solutions, focusing on enterprise clients in security. Responsibilities include strategic account planning and pipeline generation to close high-value opportunities.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

Own and operate Kubernetes control plane components, scale the Kubernetes scheduler, build core cluster services, collaborate with teams, and lead incident response.