What you will do

• Lead research initiatives in generative AI, focusing on advancing state-of-the-art techniques
• Design and implement novel architectures for generative models
• Collaborate with cross-functional product and engineering teams to integrate generative AI technologies into our products
• Mentor junior researchers and engineers, fostering a culture of innovation
• Publish research findings in top-tier conferences and journals
• Stay current with the latest developments in the field and identify new opportunities for innovation

What you will need

• B.Tech in Computer Science, Machine Learning, or a related field with at least 8+ years of experience in AI/ML research
• Deep understanding of transformer architectures, large language models, and diffusion models
• Expertise in PyTorch or TensorFlow, and proficiency in Python
• Experience leading research teams and mentoring junior researchers- Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences


Preferred Qualifications:

• M.Tech or Ph.D in Computer Science with a specialization in Machine Learning
• Experience with multi-modal generative models
• Track record of successful research-to-product transitions
• Experience with distributed computing and large-scale model training
• Experience in large scale LLM Ops and optimizing LLMs for efficient inference
• Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI)