Top Natural Language Processing Jobs in Los Angeles, CA

The Global Development Lead oversees clinical development for internal medicine, leading cross-functional teams and ensuring successful trial execution and regulatory submissions.

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.

The Logistics Engineer will enhance warehouse management systems, support integrations, collaborate on technical solutions, and troubleshoot logistical issues. This role involves optimizing workflows and participating in on-call support.

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

Design and implement secure, robust, and scalable backend services for speech processing. Debug complex system issues and partner with Product teams to drive feature development.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

The Director of Partner Solutions will lead channel strategy, drive partner growth, and collaborate with teams to enhance Superhuman's market presence.

The Director, Sales will build relationships with healthcare executives, drive sales strategies, and lead the entire sales cycle to achieve targets.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

Own day-to-day social publishing and community engagement, translate global brand narratives into local social activations, coordinate creators and workflows, and track qualitative and quantitative performance to inform strategy.

The Generative AI Analyst will create prompts and responses for machine learning projects, lead labeling initiatives, and provide training on best practices for LLM datasets.