Applied Scientist III — Real-Time Ad Auctions

InMobi Advertising; San Mateo (CA); On-site; USD 148,000 - 217,000; Full time

Benefits offered by this job

ESOP

Medical, dental, vision insurance

401(k) match

Flexible hours

Free lunch in offices

Job summary

InMobi Advertising is seeking an Applied Scientist III to join a production-scale algorithmic and research team. You will design mathematically rigorous models, bridging theory and practical impact across traffic shaping, fraud detection, ad quality, and pricing strategies.

You will work on cutting-edge ML with PyTorch/TensorFlow, deploy in production, and publish findings while collaborating with product and engineering teams.

Qualifications

• Ph.D. or Master’s degree in CS, Stats, Math, OR, Physics, or related field.
• 5.5–7 years of algorithmic or applied research experience, preferably with production deployment.
• Strong foundations in theory and methods (learning theory, optimization, probability, information).
• Experience with online learning, bandits, RL, Bayesian methods; publish research where possible.

Responsibilities

• Formulate and implement real-time auction, pricing, pacing, and traffic allocation algorithms for a massive ad marketplace.
• Design and experiment with online learning, RL, bandits, forecasting, game theory in non-stationary environments.
• Collaborate with product and engineering to deploy models in production and run real-world experiments with rapid feedback.
• Publish high-quality research and contribute to internal seminars; stay current with ML advances.
• Evaluate long-term dynamics, including exploration-exploitation, within multi-agent systems.
• Identify new research directions by translating business challenges into questions and proposing high-impact methods.
• Translate mathematical ideas into scalable production algorithms and refine based on system behavior.
• Close the loop between model predictions and real-world outcomes.

Skills

Statistical learning theory

Optimization

Probability theory

Information theory

Online learning

Bandits

Reinforcement learning

Bayesian methods

Python (NumPy, SciPy)

PyTorch / TensorFlow

Spark / distributed computing

End-to-end production deployment

Education

Ph.D. or Master’s in a quantitative field

Tools

PyTorch

TensorFlow

NumPy/SciPy

Apache Spark

Job description

InMobi Advertising is seeking an Applied Scientist III to join a production-scale algorithmic and research team. You will design mathematically rigorous models, bridging theory and practical impact across traffic shaping, fraud detection, ad quality, and pricing strategies.

You will work on cutting-edge ML with PyTorch/TensorFlow, deploy in production, and publish findings while collaborating with product and engineering teams.