Top Natural Language Processing (NLP) Jobs in San Francisco Bay Area, CA

As a Sr AI Enterprise Engineer, you'll design and deploy intelligent systems using large language models, build conversational agents, and support teams in AI enablement while driving collaboration and innovation across the company.

Lead and mentor the data science team, define research roadmaps, prototype NLP architectures, and engage with industry audiences.

The Senior AI Engineer will design and develop voice agents and agentic workflows for healthcare operations, ensuring reliable interactions and efficient backend processes while monitoring performance and iterating on systems based on user feedback.

Assist in developing AI capabilities at Rocket Lawyer, working with large language models, backend services, and collaborating with teams on AI projects.

As an ML research engineer, you will develop systems using language models, curate datasets, set evaluation metrics, and scale semantic search processes.

You will build and maintain assessment ML systems, define evaluation frameworks, and collaborate with design teams to improve language proficiency assessments.

The role involves creating benchmarks and writing technical content on document AI, running experiments, and publishing findings rapidly to influence developers.

The Machine Learning Scientist role involves advancing small, high-performance language models, focusing on training, optimization, and evaluation. Collaboration with teams to quickly deploy breakthroughs is key.

Develop AI-powered experiences for tech users, focusing on chatbot integration and documentation platforms. Design, build, and improve API and content ingestion systems.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.