About the Team:
Nykaa’s Ad Tech Data Science team is at the forefront of building intelligent, ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization. We aim to serve highly relevant, personalized ads to millions of users while maximizing advertiser success through scalable, automated systems. In this Staff MLS role, you will be a hands-on technical leader—driving the development of foundational ML models and systems that fuel our ad platform. You’ll work closely with product, engineering, and business teams to define and solve high-impact problems in advertising science.
What Are We Looking For?
Education: Bachelor’s, Master’s, or Ph. D. in Computer Science, Machine Learning, Statistics, or a related technical field from a reputable institution.
Experience:
7+ years of experience building production-grade ML systems, with 5+ years specifically in Ad Tech, performance marketing, or large-scale recommender systems.
Proven track record of delivering impactful ML innovations as a senior individual contributor, from ideation to deployment.




Deep expertise in one or more of the following domains:
CTR/CVR prediction, ranking, bidding dynamics, bid/budget optimization
Multi-objective learning, campaign automation, target ROAS modeling
Generative AI for creative optimization, personalization, or agentic workflows
Technical Skills:
Strong understanding of:
Learning-to-Rank
Bandits and exploration strategies
Representation learning / embeddings
Auction systems and ads marketplaces
Multi-objective optimization
real-time inference, latency-sensitive model serving, and model monitoring in production environments.
Fluency in Python and ML frameworks like Py Torch , Tensor Flow , XGBoost , and libraries like Light GBM , Scikit-learn.
Expertise in large-scale data processing with Py Spark , SQL etc...
Experience with Solid command of A/B testing design , incrementality measurement , and online experimentation in Ad Tech systems.
Resp

📌 Staff machine learning scientist – adtech (Bengaluru)
🏢 Nykaa
📍 Bengaluru