Senior Applied Research Scientist – AI

GraaS is hiring a Senior Applied Research Scientist to build the next generation of foundation models. You will join a team responsible for building multimodal models with state-of-the-art performance on real-world benchmarks. In this role, you’ll own full-cycle model development: from pre-training and fine-tuning to applying distillation and compression techniques for deployment. This is a hands-on, cross-functional role where your work will directly impact our vision to create documentation from code using autonomous agents.

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:

  • Proficient in Python, deep learning frameworks and LLM integrations (OpenAI, Anthropic, HuggingFace, etc.). Knows how to productionize ML models (data prep, evaluation, vector DBs, retrieval, etc.)
  • Proven skills in model training and optimization, including fine-tuning on large datasets and applying distillation, quantization, or similar techniques. Multimodal models experience is a plus.
  • Strong problem-solving ability: quick prototyping, diagnosing failure cases, and iterating on solutions
  • Startup experience preferred: Comfortable with ambiguity, fast iteration, and owning projects end-to-end
  • Ph.D. or Master’s in CS, EE, or related field, with a strong foundation in AI/ML (Ph.D. preferred or Master’s with strong portfolio)

Salary and Equity:

At GraaS, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company’s growth.

The starting base salary range for this role in Bengaluru: Rs. 40 Lpa – Rs. 60 Lpa

How to apply:

If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Send in your resume to [email protected]