Multimodal Large Language Models AI Engineer

Headroom Inc.; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Headroom Inc. is seeking a Multimodal Large Language Models AI Engineer to design and optimize NLP algorithms for its real-time video communications platform.

The role focuses on developing transformer-based models, NLP data analytics, and sentiment processing, with emphasis on real-time cloud deployment and seamless product integration. The ideal candidate will have a strong background in large language models and transformer architectures, contributing to the NLP pipeline development and

Qualifications

• Experience with large language models (LLMs) and NLP
• Strong background in transformer architectures
• Experience with NLP data analytics, sentiment processing and real-time deployment

Responsibilities

• Design and optimize NLP algorithms for real-time video platform
• Develop and maintain NLP pipeline for data extraction and sentiment analysis
• Deploy ML models to cloud infrastructure and integrate with product features

Tools

PyTorch

TensorFlow

Keras

Job description

Headroom Inc. is looking for a Multimodal Large Language Models AI Engineer to develop and optimize NLP algorithms for their real-time video communications platform. Candidates should have experience with LLMs and MLOps.

This role focuses on designing and implementing machine learning algorithms for NLP data analytics within a cutting-edge video communications platform. The engineer will optimize these algorithms for real-time cloud deployment and integrate them into Headroom's product offerings.

The ideal candidate will have a strong background in large language models and experience with transformer-based architectures. They will also contribute to the development and maintenance of the NLP pipeline, ensuring effective data extraction and sentiment processing.