Staff Applied Scientist I (AI)

TL;DR

Staff Applied Scientist I (AI): Formulating and implementing algorithms to power real-time auctions, dynamic pricing, and traffic allocation across a massive-scale ad marketplace. Focus on translating mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.

Location: Bangalore

Company

hirify.global Advertising is a global technology leader helping marketers win the moments that matter.

What you will do

• Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.
• Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling.
• Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops.
• Provide technical leadership by reviewing scientific approaches, mentoring junior scientists, and guiding the team toward robust methodologies.
• Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.
• Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.

Requirements

• Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.
• 7–10 years of experience working on algorithmic or applied research problems, including significant production deployment experience.
• Deep grounding in statistical learning theory, mathematical optimization, discrete algorithms, probability theory, and information theory.
• Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.
• Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.
• A researcher’s mindset: questions first, implementation later.

Nice to have

• Strong publication record.
• Prior experience in ad tech, marketplaces, or dynamic pricing.

Culture & Benefits

• Thrive on challenges and seize every opportunity for growth.
• Core values: thinking big, being passionate, showing accountability, and taking ownership with freedom.
• Believe in nurturing and investing in your development through continuous learning and career progression.
• Proud to be an Equal Employment Opportunity employer.