Top Natural Language Processing Jobs in Los Angeles, CA

Lead cross-functional oncology product teams through early development phases, managing strategies, milestones, and communications with stakeholders while ensuring data-driven decision-making and risk mitigation.

The Senior Accounts Payable Specialist processes invoices, manages vendor relations, resolves discrepancies, and optimizes AP workflows, ensuring accuracy and compliance.

As an AI Vision Solution Architect, you'll design AI-powered solutions, collaborate with teams, manage projects, and cultivate customer relationships to enhance product evolution.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

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.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

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.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

Lead Performance Marketing efforts across Paid Social, Display, and Video channels while managing team members and driving customer acquisition through data-driven strategies and creative testing.

The Talent Sourcer will develop sourcing strategies, build candidate pipelines, identify candidates, conduct qualification calls, and provide recommendations for hires.

As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.