Multimodal Large Language Models AI Engineer

About the role

This position involves researching, designing, and implementing machine learning and deep learning algorithms, specifically for natural language processing data analytics. The engineer will be responsible for benchmarking, fine-tuning, and optimizing these algorithms for real-time cloud deployment, ensuring they perform efficiently within the platform's constraints. A key aspect of the role is to integrate these advanced AI capabilities directly into Headroom's product offerings.

The role also requires developing and maintaining the NLP pipeline, which is crucial for data extraction and sentiment processing. This involves staying current with technological trends and prototyping new technologies to keep the platform at the forefront of AI innovation. The successful candidate will contribute to a next-generation video communications platform that combines real-time capabilities with human-centered artificial intelligence.

Success in this role means consistently delivering optimized and integrated AI solutions that enhance the platform's real-time NLP data analytics. It requires a proactive approach to algorithm development and a strong ability to translate research into production-ready features. The engineer will contribute to the core AI functionality that drives the company's innovative communication tools.

The salary for this position ranges from $100,000 to $150,000 USD annually.

Skills that matter here

• Python: Proficiency in Python is required for developing and implementing machine learning and deep learning algorithms.
• TensorFlow: Experience with TensorFlow is necessary for building and optimizing machine learning models.
• PyTorch: Experience with PyTorch is necessary for building and optimizing machine learning models.
• Kubernetes: Experience with MLOps stacks, including Kubernetes, is important for deploying and managing machine learning models.
• GraphQL: Experience with GraphQL is part of the broader technology stack used by the team.
• WebRTC: The platform utilizes WebRTC, indicating a need for understanding real-time communication technologies.

Who this role suits

• A person with a strong academic background in computer science or electrical engineering, holding an MS or Ph.D.
• Someone with at least three years of experience specifically in enterprise-scale Large Language Model solutions.
• An individual who has practical experience with transformer-based language models, including Vision Based Transformers.
• A candidate who thrives in a role that balances research, development, and integration of AI algorithms into a live product.

From the employer

• Research, design and implement machine learning/deep learning algorithms for NLP data analytics.
• Benchmark and fine-tune algorithms.
• Optimize algorithms for real-time cloud deployment.
• Integrate algorithms into Headroom product.
• Stay updated with technology trends and prototype new technologies.
• Develop and maintain NLP Pipeline for data extraction and sentiment processing.

• MS or Ph.D in Computer Science, Electrical Engineering or related field.
• 3+ years experience with enterprise-scale Large Language Model solutions.
• Experience with transformer based language models and Vision Based Transformers.
• Proficiency in Python, PyTorch, and TensorFlow.
• Experience with MLOps stacks like GCP, Docker, REST APIs.
• Strong communication and interpersonal skills.

• Work from anywhere
• Flexible PTO
• Health, Dental, & Vision
• Competitive salary
• Computer and software setup
• Company outings