Staff Machine Learning Scientist Adtech Mumbai (India)

As a Staff MLS member in Nykaas AdTech Data Science team, you will play a crucial role in driving the development of ML models and systems for intelligent advertising products. Your responsibilities will include collaborating with cross-functional teams to tackle high-impact problems in the advertising science domain. Key Responsibilities: - Build and enhance production-grade ML systems, focusing on AdTech, performance marketing, and recommender systems - Lead the delivery of impactful ML innovations from conception to deployment as a senior individual contributor - Specialize in domains such as CTR/CVR prediction, ranking, bidding dynamics, bid/budget optimization, and more - Demonstrate expertise in learning-to-rank, bandits, representation learning, auction systems, and multi-objective optimization - Utilize Python and ML frameworks like PyTorch, TensorFlow, XGBoost, and libraries such as LightGBM, Scikit-learn - Manage large-scale data processing with PySpark, SQL, etc. - Implement A/B testing design, incrementality measurement, and online experimentation in AdTech Qualifications Required: - Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical fields from a reputable institution - 7+ years of experience in building production-grade ML systems, with at least 5 years in AdTech, performance marketing, or large-scale recommender systems - Proven track record of delivering impactful ML innovations as a senior individual contributor - Familiarity with real-time inference, latency-sensitive model serving, and model monitoring in production environments This role demands a strong technical background, hands-on experience in ML systems development, and a passion for driving innovation in the advertising technology space. As a Staff MLS member in Nykaas AdTech Data Science team, you will play a crucial role in driving the development of ML models and systems for intelligent advertising products. Your responsibilities will include collaborating with cross-functional teams to tackle high-impact problems in the advertising science domain. Key Responsibilities: - Build and enhance production-grade ML systems, focusing on AdTech, performance marketing, and recommender systems - Lead the delivery of impactful ML innovations from conception to deployment as a senior individual contributor - Specialize in domains such as CTR/CVR prediction, ranking, bidding dynamics, bid/budget optimization, and more - Demonstrate expertise in learning-to-rank, bandits, representation learning, auction systems, and multi-objective optimization - Utilize Python and ML frameworks like PyTorch, TensorFlow, XGBoost, and libraries such as LightGBM, Scikit-learn - Manage large-scale data processing with PySpark, SQL, etc. - Implement A/B testing design, incrementality measurement, and online experimentation in AdTech Qualifications Required: - Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical fields from a reputable institution - 7+ years of experience in building production-grade ML systems, with at least 5 years in AdTech, performance marketing, or large-scale recommender systems - Proven track record of delivering impactful ML innovations as a senior individual contributor - Familiarity with real-time inference, latency-sensitive model serving, and model monitoring in production environments This role demands a strong technical background, hands-on experience in ML systems development, and a passion for driving innovation in the advertising technology space.