Top Natural Language Processing Jobs in Los Angeles, CA

Lead multiple oncology product teams through clinical development phases, ensuring integration of end-to-end product strategy, risk mitigation, and delivery of milestones while collaborating with internal and external stakeholders.

Lead the strategy and execution of logistics and fulfillment technology, collaborating with various teams to enhance product delivery and efficiency.

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 end-to-end finance operations for a growth-stage SaaS company, overseeing accounting, FP&A, revenue recognition, cash and liquidity planning, compliance, and auditing. Partner with CEO and cross-functional leaders on strategy, pricing, HR/PeopleOps and RevOps, build financial models, KPIs, and dashboards, and scale finance processes and team members to support rapid growth.

As a Business Development Representative, you will qualify leads, work with sales and marketing to generate new opportunities, and manage the sales pipeline.

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

Evaluate and rate Spanish-language search results according to client guidelines to improve search engine experience and augment AI data. Complete training, pass client exams, follow project conventions, and meet weekly hour goals remotely.

Evaluate and rate search results in Simplified Chinese to improve search engine quality and augment AI data. Complete weekly tasks remotely (10–25 hrs/week), follow client rules and conventions, pass training and quality tests, and sign an NDA.

Lead the US Sales Team, driving new business across North America by managing complex sales cycles, coaching team members, and collaborating cross-functionally.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

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