Research Scientist — IBM Research India

About this AI Research Associate role at IBM Research India

IBM Research India is hiring Research Scientists to lead cutting-edge AI and machine learning innovation in Bengaluru. As a senior-level AI Research Associate, you'll work on production-relevant deep learning research that drives real-world impact—a rare opportunity to shape India's AI research landscape while working alongside world-class scientists at a private MNC.

What you'll do

• Develop and optimize deep learning models, with focus on transformer architectures for large-scale AI applications
• Conduct original research in machine learning and publish findings in peer-reviewed venues
• Translate research innovations into production-ready systems and frameworks
• Collaborate with cross-functional teams to solve industry-scale AI challenges
• Design and implement experiments that advance state-of-the-art techniques in neural networks and AI

Who should apply

IBM seeks senior research talent: you'll need a PhD in Computer Science, Electrical Engineering, Statistics, or related fields with a track record of academic publications. This is not an entry-level role—you should bring hands-on expertise in deep learning, transformers, and research methodology. If you're a researcher ready to bridge academia and production ML, this is your opportunity.

Salary & offer in context

IBM Research India offers ₹40–80 LPA plus RSUs for this role. In the Indian AI Research Associate market, this senior-level salary is competitive; AI research scientist salaries in India typically range ₹30–100 LPA depending on PhD credentials and publication record. At a private MNC like IBM, you're looking at structured career growth and global research exposure.

Path to apply

Apply directly through IBM Research's online portal—no exam, straight to the hiring team. The application deadline is June 4, 2026, so move quickly if this aligns with your research goals. For on-site work in Bengaluru, be ready to relocate or confirm your Bangalore availability during interviews.