Top Natural Language Processing Jobs in Los Angeles, CA

The Senior Data Analyst will lead analytics projects, translate complex data into insights, and support product strategies across various teams, ensuring data-driven decision making.

The Associate Director, Biostatistics role involves providing statistical expertise for clinical study design and data analysis, ensuring compliance with regulations, and contributing to publications and regulatory submissions.

The Manager, Biostatistics will design clinical studies, analyze data, provide statistical input, and contribute to publications, ensuring high-quality deliverables in compliance with regulations.

The Manager, RPMSS oversees regulatory program management for Pfizer Oncology, ensuring strategic alignment and timely submissions while enhancing workflow efficiency and supporting cross-functional teams.

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 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 Product Marketing Manager will build and manage the customer storytelling and advocacy engine, partnering with teams to enhance customer engagement and support sales efforts through impactful storytelling and content creation.

As a Senior Growth Product Manager, you will drive scalable growth strategies, lead cross-functional experiments, and optimize conversion funnels to enhance customer acquisition and retention.

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.

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.