Top Natural Language Processing Jobs in Los Angeles, CA

The Senior Medical Director oversees clinical development in breast oncology, leads clinical trials, manages regulatory interactions, and provides strategic guidance. This role requires substantial experience in cancer trials and expertise in medical monitoring.

Thrive Market seeks a Senior Data Engineer to deliver data engineering solutions, collaborate across teams, and manage data architecture, focusing on complex data processing and streaming frameworks.

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 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.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

The GTM Engineer will support revenue operations by managing Quote-to-Cash processes, Salesforce administration, and enhancing workflow efficiencies using AI tools.

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

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.

The Engagement Manager leads enterprise deployments of Superhuman's AI productivity platform, managing the project lifecycle from scoping to go-live, while collaborating with cross-functional teams and ensuring customer success.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Evaluate digital map designs for aesthetic quality and usability, review location suggestions, and follow project guidelines for accuracy.