Top Natural Language Processing Jobs in Los Angeles, CA

The Sr. Director is responsible for developing and executing scientific communication strategies in oncology, collaborating with stakeholders, leading financial management of projects, and ensuring alignment of messaging across teams.

The Field Access Lead focuses on patient access and reimbursement strategies, educating healthcare providers, resolving issues, and maintaining compliance with corporate guidelines.

This role leads early oncology clinical studies development, coordinates with teams, ensures quality clinical trial execution, and interprets clinical data.

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 Director of Fulfillment Programs will lead initiatives for safety, quality, and training in fulfillment operations, developing scalable systems and programs across multiple sites.

The role involves selling the Qualtrics platform to Higher Education clients, driving revenue growth, and acting as a trusted advisor throughout the sales cycle. It requires strong sales experience and proficiency with sales tools.

The Staff Brand Writer at Superhuman will synthesize complex product features into clear messaging, shape creative strategies, manage multiple campaigns, collaborate across departments, and mentor junior writers.

The role involves proofreading and translating life sciences documents from English to French Canadian, requiring expertise in pharmacy and patient-facing materials.

The Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

The GTM Enablement Program Manager will enhance the GTM team's effectiveness by managing onboarding, training, and enablement processes, focusing on sales success and productivity.

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.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.