Top Natural Language Processing Jobs in Los Angeles, CA

The Food Safety & Quality Assurance Analyst manages FSQA programs, handles product quality concerns, and supports crisis events, ensuring regulatory compliance.

The Global Development Lead manages clinical development for assigned assets in Internal Medicine, leading cross-functional teams and ensuring regulatory compliance and study execution.

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.

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

The role involves owning the go-to-market strategy for TTS, defining its narrative, leading product launches, enabling sales, and collaborating across teams.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

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 CS Operations Manager will manage the operational infrastructure for renewal programs, including program design, process configuration, and cross-functional collaboration with teams like Sales and Marketing.

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

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

The role involves full-cycle sales, strategic account planning for enterprise clients, technical evangelism of EchoMark, and pipeline generation through proactive outreach.