Senior Applied AI Research Scientist

Company Description

In a rapidly evolving AI-first market, GraaS stands at the forefront of innovation. GraaS is obsessed on creating asymmetrical opportunities for its enterprise customers' growth. Joining our team means being part of a transformative journey that bridges the gap between the expected and the extraordinary. This is a hands-on, cross-functional role where your work will directly impact our vision.

What you’ll do :

• Develop & Optimize LLMs : Design and optimize transformer-based models to understand images, videos, and text, and optimize for real-time inference.
• Pre-training & Fine-tuning : Own the full training pipeline, from pre-training to fine-tuning for enterprise domain and use cases.
• Model Compression & Optimization : Apply techniques like distillation, quantization, and pruning to reduce model size and latency, enabling efficient edge deployment.
• Leverage Open-Source & Innovate : Use and extend state-of-the-art open-source models. Prototype new architectures and training methods to advance GraaS’ multimodal AI research.
• Cross-Team Collaboration : Work with engineering and product teams to integrate models into the platform. Iterate based on real-world feedback and deployment data to improve performance.
• Research and Experimentation : Stay current with NLP, GAMA and multimodal AI research. Design experiments to test new algorithms and continually enhance our core AI systems.

What you’ll bring :

Salary and Equity :