Staff Machine Learning Scientist

Requirements:

• Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical discipline from a reputed institution.
• 7+ years of experience building and deploying production-grade Machine Learning systems.
• At least 5+ years of hands-on experience in AdTech, Performance Marketing, Digital Advertising, or large-scale Recommender Systems.
• Proven track record of designing, developing, and deploying high-impact ML solutions as a senior individual contributor.
• Experience taking ML models from research and experimentation through production deployment and continuous optimisation.
• Deep expertise in one or more of the following domains: CTR/CVR prediction, Learning-to-Rank and recommendation systems, Bidding strategies and auction dynamics, Bid and budget optimisation, Target ROAS optimisation, Campaign automation, Multi-objective optimisation.
• Personalisation and recommendation systems.
• Generative AI for creative optimisation and advertiser assistance.

Technical Skills:

• Strong understanding of: Learning-to-Rank (LTR), Multi-Armed Bandits and exploration/exploitation strategies, Representation Learning and Embeddings, Auction Systems and Ads Marketplaces, Multi-objective Optimisation.
• Real-time inference and low-latency model serving.
• Model monitoring and production ML observability.
• Strong programming skills in Python.
• Hands-on experience with modern ML frameworks including: PyTorch, TensorFlow, XGBoost, LightGBM, Scikit-learn.
• Experience processing large-scale datasets using: PySpark, SQL, Distributed data processing frameworks.
• Strong expertise in: Online experimentation, A/B Testing, Incrementality Measurement, Statistical Experiment Design.
• Experience working with cloud-native ML infrastructure and production-scale model deployment is highly preferred.