Live opening · Posted 27 days ago
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Responsibilities:
Design and develop sophisticated bidding, budget pacing, and other algorithms that optimize ad spend or ROI.
Create frameworks and experimental designs to measure ad effectiveness and ROI.
Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.
Communicate long-term roadmap, insights, and recommendations to tech and business leadership.
Mentor junior data scientists and provide technical guidance.
Lead research initiatives in machine learning, auction theory, and advertising technology.
Requirements:
B. Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research.
Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.
Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.
History of mentoring junior data scientists, and comfortable in driving multiple problem statements.
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.
3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.
Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.
Track record of successful research-to-product transitions.
Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).
Experience
8-12 yrs
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