Top Natural Language Processing Jobs in Los Angeles, CA

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.

The candidate leads clinical pharmacology efforts for oncology programs, collaborates with multidisciplinary teams, designs trials, analyzes data, and drafts regulatory documents.

Manage a team of Senior Oncology Account Specialists, oversee sales performance, implement strategic plans, and maintain strong relationships with stakeholders in the oncology field.

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 will architect AI-powered solutions, manage projects, collaborate with teams, and build customer relationships to enhance AI vision products.

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.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Business Development Representative, you'll qualify leads, collaborate with teams, manage sales opportunities, and support Superhuman's growth in education markets.

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.

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

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.

The Enterprise Account Executive will drive enterprise sales, meet quotas, work with leadership on sales goals, and represent Kustomer as a thought leader in the market.