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

As an AI/ML Engineer, you'll design, build, and ship large scale NLP and LLM systems for classification, ranking, and content generation while collaborating with cross-functional teams.

The Applied AI Engineer will work with language models to create applications, manage the model alpha program with OpenAI, conduct experiments, and influence policies.

The role involves designing and implementing conversational AI systems, managing prompt orchestration, and ensuring conversational quality through advanced evaluation frameworks.

The Staff AI Engineer will lead the development of intelligent search systems, focusing on query understanding, ranking, entity recognition, and architecting search infrastructure using machine learning and advanced NLP techniques.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

The ML Scientist will develop machine learning models for medical NLP and speech recognition, optimize pipelines, and transition research to production systems.

This role involves optimizing model serving layers for voice AI applications, working with inference engines, and improving performance for STT and TTS systems.

As a Forward Deployed Engineer, you will fine-tune language models for customer-specific applications, manage training data, debug training processes, and deploy models while collaborating with clients and research teams.

The ML Scientist will develop a voice interface, personalize speech models, and handle LLMs for high-demand applications, using advanced ML techniques.

The role involves developing multimodal LLMs for conversational AI, focusing on real-time interaction combining speech, text, and tools. Responsibilities include taking ideas from research to production.